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样本量过程列表-超过1000种情境

此页面包含可以通过 PASS 计算样本量和功效的检验和置信区间列表。如需更深入地了解 PASS 的功能，请下载免费试用版。单击以查看有关PASS 中 的一或二均值、多均值、 相关性、正态性检验、方差、一比例、二比例、卡方和其他比例检验、生存或回归的一些其他详细信息。

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Assurance - 52 Scenarios

  • Assurance for Two-Sample T-Tests Assuming Equal Variance
  • Assurance for Two-Sample Z-Tests Assuming Equal Variance
  • Assurance for Two-Sample T-Tests Allowing Unequal Variance
  • Assurance for Two-Sample T-Tests for Non-Inferiority Assuming Equal Variance
  • Assurance for Two-Sample T-Tests for Superiority by a Margin Assuming Equal Variance
  • Assurance for Two-Sample T-Tests for Equivalence Assuming Equal Variance
  • Assurance for Two-Sample T-Tests for Non-Inferiority Allowing Unequal Variance
  • Assurance for Two-Sample T-Tests for Superiority by a Margin Allowing Unequal Variance
  • Assurance for Two-Sample T-Tests for Equivalence Allowing Unequal Variance
  • Assurance for Tests for Two Proportions
  • Assurance for Non-Zero Null Tests for the Difference Between Two Proportions
  • Assurance for Non-Inferiority Tests for the Difference Between Two Proportions
  • Assurance for Superiority by a Margin Tests for the Difference Between Two Proportions
  • Assurance for Equivalence Tests for the Difference Between Two Proportions
  • Assurance for Non-Unity Null Tests for the Ratio of Two Proportions
  • Assurance for Non-Unity Null Tests for the Odds Ratio of Two Proportions
  • Assurance for Superiority by a Margin Tests for the Ratio of Two Proportions
  • Assurance for Non-Inferiority Tests for the Ratio of Two Proportions
  • Assurance for Superiority by a Margin Tests for the Odds Ratio of Two Proportions
  • Assurance for Non-Inferiority Tests for the Odds Ratio of Two Proportions
  • Assurance for Equivalence Tests for the Ratio of Two Proportions
  • Assurance for Equivalence Tests for the Odds Ratio of Two Proportions
  • Assurance for Logrank Tests (Freedman)
  • Assurance for Tests for Two Survival Curves Using Cox's Proportional Hazards Model
  • Assurance for Non-Inferiority Tests for Two Survival Curves Using Cox's Proportional Hazards Model
  • Assurance for Superiority by a Margin Tests for Two Survival Curves Using Cox's Proportional Hazards Model
  • Assurance for Equivalence Tests for Two Survival Curves Using Cox's Proportional Hazards Model
  • Assurance for Tests for the Difference of Two Hazard Rates Assuming an Exponential Model
  • Assurance for Non-Inferiority Tests for the Difference of Two Hazard Rates Assuming an Exponential Model
  • Assurance for Superiority by a Margin Tests for the Difference of Two Hazard Rates Assuming an Exponential Model
  • Assurance for Equivalence Tests for the Difference of Two Hazard Rates Assuming an Exponential Model
  • Assurance for Tests for the Ratio of Two Negative Binomial Rates
  • Assurance for Non-Inferiority Tests for the Ratio of Two Negative Binomial Rates
  • Assurance for Superiority by a Margin Tests for the Ratio of Two Negative Binomial Rates
  • Assurance for Equivalence Tests for the Ratio of Two Negative Binomial Rates
  • Assurance for Tests for Two Means in a Cluster-Randomized Design
  • Assurance for Non-Inferiority Tests for Two Means in a Cluster-Randomized Design
  • Assurance for Superiority by a Margin Tests for Two Means in a Cluster-Randomized Design
  • Assurance for Equivalence Tests for Two Means in a Cluster-Randomized Design
  • Assurance for Tests for Two Proportions in a Cluster-Randomized Design
  • Assurance for Non-Zero Null Tests for the Difference of Two Proportions in a Cluster-Randomized Design
  • Assurance for Non-Inferiority Tests for the Difference of Two Proportions in a Cluster-Randomized Design
  • Assurance for Superiority by a Margin Tests for the Difference of Two Proportions in a Cluster-Randomized Design
  • Assurance for Equivalence Tests for the Difference of Two Proportions in a Cluster-Randomized Design
  • Assurance for Logrank Tests in a Cluster-Randomized Design
  • Assurance for Tests for the Difference Between Two Poisson Rates
  • Assurance for Tests for the Ratio of Two Poisson Rates
  • Assurance for Non-Inferiority Tests for the Ratio of Two Poisson Rates
  • Assurance for Superiority by a Margin Tests for the Ratio of Two Poisson Rates
  • Assurance for Equivalence Tests for the Ratio of Two Poisson Rates
  • Assurance for Non-Inferiority Tests for Vaccine Efficacy using the Ratio of Two Proportions
  • Assurance for Superiority by a Margin Tests for Vaccine Efficacy using the Ratio of Two Proportions

Bland-Altman Method - 1 Scenario

  • Bland-Altman Method for Assessing Agreement in Method Comparison Studies

Bridging Studies - 6 Scenarios

  • Bridging Study using the Equivalence Test of Two Groups (Continuous Outcome)
  • Bridging Study using a Non-Inferiority Test of Two Groups (Continuous Outcome)
  • Bridging Study using the Equivalence Test of Two Groups (Binary Outcome)
  • Bridging Study using a Non-Inferiority Test of Two Groups (Binary Outcome)
  • Bridging Study Sensitivity Index
  • Bridging Study Test of Sensitivity using a Two-Group T-Test (Continuous Outcome)

Cluster-Randomized Designs - 43 Scenarios

  • Tests for Two Means from a Cluster-Randomized Design
  • Tests for Two Means in a Stepped-Wedge Cluster-Randomized Design - Complete Design
  • Tests for Two Means in a Stepped-Wedge Cluster-Randomized Design - Incomplete Design (Custom)
  • Tests for the Matched-Pair Difference of Two Means in a Cluster-Randomized Design
  • Non-Inferiority Tests for Two Means in a Cluster-Randomized Design
  • Equivalence Tests for Two Means in a Cluster-Randomized Design
  • Superiority by a Margin Tests for Two Means in a Cluster-Randomized Design
  • Tests for the Difference Between Two Poisson Rates in a Cluster-Randomized Design
  • Tests for Two Poisson Rates in a Stepped-Wedge Cluster-Randomized Design - Complete Design
  • Tests for Two Poisson Rates in a Stepped-Wedge Cluster-Randomized Design - Incomplete Design (Custom)
  • Tests for the Matched-Pair Difference of Two Event Rates in a Cluster-Randomized Design
  • Tests for Two Proportions in a Cluster-Randomized Design – Z Test (Pooled)
  • Tests for Two Proportions in a Cluster-Randomized Design – Z Test (Unpooled)
  • Tests for Two Proportions in a Cluster-Randomized Design – Likelihood Score Test
  • Tests for Two Proportions in a Cluster-Randomized Design using Proportions
  • Tests for Two Proportions in a Cluster-Randomized Design using Differences
  • Tests for Two Proportions in a Cluster-Randomized Design using Ratios
  • Tests for Two Proportions in a Stepped-Wedge Cluster-Randomized Design - Complete Design
  • Tests for Two Proportions in a Stepped-Wedge Cluster-Randomized Design - Incomplete Design (Custom)
  • Tests for the Matched-Pair Difference of Two Proportions in a Cluster-Randomized Design
  • Equivalence Tests of Two Proportions in a Cluster-Randomized Design – Z Test (Pooled)
  • Equivalence Tests of Two Proportions in a Cluster-Randomized Design – Z Test (Unpooled)
  • Equivalence Tests of Two Proportions in a Cluster-Randomized Design – Likelihood Score Test
  • Equivalence Tests of Two Proportions in a Cluster-Randomized Design using Proportions
  • Equivalence Tests of Two Proportions in a Cluster-Randomized Design using Differences
  • Equivalence Tests of Two Proportions in a Cluster-Randomized Design using Ratios
  • Non-Inferiority Tests of Two Proportions in a Cluster-Randomized Design – Z Test (Pooled)
  • Non-Inferiority Tests of Two Proportions in a Cluster-Randomized Design – Z Test (Unpooled)
  • Non-Inferiority Tests of Two Proportions in a Cluster-Randomized Design – Likelihood Score Test
  • Non-Inferiority Tests of Two Proportions in a Cluster-Randomized Design using Proportions
  • Non-Inferiority Tests of Two Proportions in a Cluster-Randomized Design using Differences
  • Non-Inferiority Tests of Two Proportions in a Cluster-Randomized Design using Ratios
  • Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design – Z Test (Pooled)
  • Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design – Z Test (Unpooled)
  • Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design – Z Test (Pooled)
  • Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design using Proportions
  • Superiority by a Margin Tests for the Difference of Two Proportions in a Cluster-Randomized Design
  • Superiority by a Margin Tests for the Ratio of Two Proportions in a Cluster-Randomized Design
  • GEE Tests for Two Means in a Stratified Cluster-Randomized Design
  • GEE Tests for Two Means in a Cluster-Randomized Design
  • GEE Tests for Multiple Means in a Cluster-Randomized Design
  • GEE Tests for Multiple Proportions in a Cluster-Randomized Design
  • GEE Tests for Multiple Poisson Rates in a Cluster-Randomized Design
  • Tests for Two Proportions in a Stratified Cluster-Randomized Design (Cochran-Mantel-Haenszel Test)
  • Tests for the Difference Between Two Poisson Rates in a Cluster-Randomized Design with Adjustment for Varying Cluster Sizes
  • Mixed Models Tests for Two Means in a Cluster-Randomized Design

Conditional Power - 23 Scenarios

  • Conditional Power of One-Sample T-Tests
  • Conditional Power of Two-Sample T-Tests
  • Conditional Power of Two-Sample T-Tests – Unequal n’s
  • Conditional Power of Paired T-Tests
  • Conditional Power of 2x2 Cross-Over Designs
  • Conditional Power of Logrank Tests
  • Conditional Power of One-Proportion Tests
  • Conditional Power of Two-Proportions Tests
  • Conditional Power of Two-Proportions Tests – Unequal n’s
  • Conditional Power of Two-Sample T-Tests for Non-Inferiority
  • Conditional Power of Two-Sample T-Tests for Superiority by a Margin
  • Conditional Power of Non-Inferiority Tests for the Difference Between Two Proportions
  • Conditional Power of Superiority by a Margin Tests for the Difference Between Two Proportions
  • Conditional Power of Non-Inferiority Logrank Tests
  • Conditional Power of Superiority by a Margin Logrank Tests
  • Conditional Power of Non-Inferiority Tests for Two Means in a 2x2 Cross-Over Design
  • Conditional Power of Superiority by a Margin Tests for Two Means in a 2x2 Cross-Over Design
  • Conditional Power of One-Sample T-Tests for Non-Inferiority
  • Conditional Power of One-Sample T-Tests for Superiority by a Margin
  • Conditional Power of Paired T-Tests for Non-Inferiority
  • Conditional Power of Paired T-Tests for Superiority by a Margin
  • Conditional Power of Non-Inferiority Tests for One Proportion
  • Conditional Power of Superiority by a Margin Tests for One Proportion

Confidence Intervals - 101 Scenarios

  • Confidence Intervals for Pearson’s Correlation
  • Confidence Intervals for Spearman’s Rank Correlation
  • Confidence Intervals for Kendall’s Tau-b Correlation
  • Confidence Intervals for Point Biserial Correlation
  • Confidence Intervals for Intraclass Correlation
  • Confidence Intervals for Coefficient Alpha
  • Confidence Intervals for Kappa
  • Confidence Intervals for One Mean with Known Standard Deviation
  • Confidence Intervals for One Mean with Sample Standard Deviation
  • Confidence Intervals for One Mean with Tolerance Probability with Known Standard Deviation
  • Confidence Intervals for One Mean with Tolerance Probability with Sample Standard Deviation
  • Confidence Intervals for One Mean in a Stratified Design
  • Confidence Intervals for One Mean in a Cluster-Randomized Design
  • Confidence Intervals for One Mean in a Stratified Cluster-Randomized Design
  • Confidence Intervals for the Difference between Two Means Assuming Equal Standard Deviations
  • Confidence Intervals for the Difference between Two Means Assuming Unequal Standard Deviations
  • Confidence Intervals for the Difference between Two Means with Tolerance Probability with Known Standard Deviation
  • Confidence Intervals for the Difference between Two Means with Tolerance Probability with Sample Standard Deviation
  • Confidence Intervals for Paired Means with Known Standard Deviation
  • Confidence Intervals for Paired Means with Sample Standard Deviation
  • Confidence Intervals for Paired Means with Tolerance Probability with Known Standard Deviation
  • Confidence Intervals for Paired Means with Tolerance Probability with Sample Standard Deviation
  • Confidence Intervals for One-Way Repeated Measures Contrasts
  • Confidence Intervals for One Proportion – Exact (Clopper-Pearson)
  • Confidence Intervals for One Proportion – Score (Wilson)
  • Confidence Intervals for One Proportion – Score (Continuity Correction)
  • Confidence Intervals for One Proportion – Simple Asymptotic
  • Confidence Intervals for One Proportion – Simple Asymptotic (Continuity Correction)
  • Confidence Intervals for One Proportion from a Finite Population
  • Confidence Intervals for One Proportion in a Stratified Design
  • Confidence Intervals for One Proportion in a Cluster-Randomized Design
  • Confidence Intervals for One Proportion in a Stratified Cluster-Randomized Design
  • Confidence Intervals for One-Sample Sensitivity
  • Confidence Intervals for One-Sample Specificity
  • Confidence Intervals for One-Sample Sensitivity and Specificity
  • Confidence Intervals for Two Proportions – Score (Farrington & Manning)
  • Confidence Intervals for Two Proportions – Score (Farrington & Manning) – Unequal n’s
  • Confidence Intervals for Two Proportions – Score (Miettinen & Nurminen)*
  • Confidence Intervals for Two Proportions – Score (Miettinen & Nurminen) – Unequal n’s
  • Confidence Intervals for Two Proportions – Score with Skewness (Gart & Nam)
  • Confidence Intervals for Two Proportions – Score with Skewness (Gart & Nam) – Unequal n’s
  • Confidence Intervals for Two Proportions – Score (Wilson)
  • Confidence Intervals for Two Proportions – Score (Wilson) – Unequal n’s
  • Confidence Intervals for Two Proportions – Score with Continuity Correction (Wilson)
  • Confidence Intervals for Two Proportions – Score with Continuity Correction (Wilson) – Unequal n’s
  • Confidence Intervals for Two Proportions – Chi-Square with Continuity Correction (Yates)
  • Confidence Intervals for Two Proportions – Chi-Square with Continuity Correction (Yates) – Unequal n’s
  • Confidence Intervals for Two Proportions – Chi-Square (Pearson)
  • Confidence Intervals for Two Proportions – Chi-Square (Pearson) – Unequal n’s
  • Confidence Intervals for Two Proportions using Ratios – Score (Farrington & Manning)
  • Confidence Intervals for Two Proportions using Ratios – Score (Farrington & Manning) – Unequal n’s
  • Confidence Intervals for Two Proportions using Ratios – Score (Miettinen & Nurminen)
  • Confidence Intervals for Two Proportions using Ratios – Score (Miettinen & Nurminen) – Unequal n’s
  • Confidence Intervals for Two Proportions using Ratios – Score with Skewness (Gart & Nam)
  • Confidence Intervals for Two Proportions using Ratios – Score with Skewness (Gart & Nam) – Unequal n’s
  • Confidence Intervals for Two Proportions using Ratios – Logarithm (Katz)
  • Confidence Intervals for Two Proportions using Ratios – Logarithm (Katz) – Unequal n’s
  • Confidence Intervals for Two Proportions using Ratios – Logarithm + ½ (Walter)
  • Confidence Intervals for Two Proportions using Ratios – Logarithm + ½ (Walter) – Unequal n’s
  • Confidence Intervals for Two Proportions using Ratios – Fleiss
  • Confidence Intervals for Two Proportions using Ratios – Fleiss – Unequal n’s
  • Confidence Intervals for Two Proportions using Odds Ratios – Exact (Conditional)
  • Confidence Intervals for Two Proportions using Odds Ratios – Exact (Conditional) – Unequal n’s
  • Confidence Intervals for Two Proportions using Odds Ratios – Score (Farrington & Manning)
  • Confidence Intervals for Two Proportions using Odds Ratios – Score (Farrington & Manning) – Unequal n’s
  • Confidence Intervals for Two Proportions using Odds Ratios – Score (Miettinen & Nurminen)
  • Confidence Intervals for Two Proportions using Odds Ratios – Score (Miettinen & Nurminen) – Unequal n’s
  • Confidence Intervals for Two Proportions using Odds Ratios – Fleiss
  • Confidence Intervals for Two Proportions using Odds Ratios – Fleiss – Unequal n’s
  • Confidence Intervals for Two Proportions using Odds Ratios – Logarithm
  • Confidence Intervals for Two Proportions using Odds Ratios – Logarithm – Unequal n’s
  • Confidence Intervals for Two Proportions using Odds Ratios – Mantel-Haenszel
  • Confidence Intervals for Two Proportions using Odds Ratios – Mantel-Haenszel – Unequal n’s
  • Confidence Intervals for Two Proportions using Odds Ratios – Simple
  • Confidence Intervals for Two Proportions using Odds Ratios – Simple – Unequal n’s
  • Confidence Intervals for Two Proportions using Odds Ratios – Simple + 1/2
  • Confidence Intervals for Two Proportions using Odds Ratios – Simple + 1/2 – Unequal n’s
  • Confidence Intervals for the Odds Ratio in a Logistic Regression with One Binary Covariate
  • Confidence Intervals for the Odds Ratio in a Logistic Regression with Two Binary Covariates
  • Confidence Intervals for the Interaction Odds Ratio in a Logistic Regression with Two Binary Covariates
  • Confidence Intervals for Linear Regression Slope
  • Confidence Intervals for Michaelis-Menten Parameters
  • Confidence Intervals for One Standard Deviation using Standard Deviation
  • Confidence Intervals for One Standard Deviation using Relative Error
  • Confidence Intervals for One Standard Deviation with Tolerance Probability – Known Standard Deviation
  • Confidence Intervals for One Standard Deviation with Tolerance Probability – Sample Standard Deviation
  • Confidence Intervals for One Variance using Variance
  • Confidence Intervals for One Variance using Relative Error
  • Confidence Intervals for One Variance with Tolerance Probability – Known Variance
  • Confidence Intervals for One Variance with Tolerance Probability – Sample Variance
  • Confidence Intervals for the Ratio of Two Variances using Variances
  • Confidence Intervals for the Ratio of Two Variances using Variances – Unequal n’s
  • Confidence Intervals for the Ratio of Two Variances using Relative Error
  • Confidence Intervals for the Ratio of Two Variances using Relative Error – Unequal n’s
  • Confidence Intervals for the Exponential Lifetime Mean
  • Confidence Intervals for the Exponential Hazard Rate
  • Confidence Intervals for an Exponential Lifetime Percentile
  • Confidence Intervals for Exponential Reliability
  • Confidence Intervals for a Percentile of a Normal Distribution
  • Confidence Intervals for the Area Under an ROC Curve
  • Confidence Intervals for the Area Under an ROC Curve – Unequal n’s

Correlation - 20 Scenarios

  • Tests for Two Correlations
  • Tests for Two Correlations – Unequal n’s
  • Pearson’s Correlation Tests
  • Pearson’s Correlation Tests with Simulation
  • Spearman’s Rank Correlation Tests with Simulation
  • Kendall’s Tau-b Correlation Tests with Simulation
  • Point Biserial Correlation Tests
  • Power Comparison of Correlation Tests with Simulation
  • Confidence Intervals for Spearman’s Rank Correlation
  • Confidence Intervals for Kendall’s Tau-b Correlation
  • Confidence Intervals for Point Biserial Correlation
  • Tests for One Coefficient (or Cronbach's) Alpha
  • Tests for Two Coefficient (or Cronbach's) Alphas
  • Tests for Two Coefficient (or Cronbach's) Alphas – Unequal n’s
  • Confidence Intervals for Coefficient (or Cronbach's) Alpha
  • Tests for Intraclass Correlation
  • Confidence Intervals for Intraclass Correlation
  • Kappa Test for Agreement Between Two Raters
  • Confidence Intervals for Kappa
  • Lin's Concordance Correlation Coefficient

Cross-Over Designs - 55 Scenarios

  • Tests for Two Means in a 2x2 Cross-Over Design using Differences
  • Tests for Two Means in a 2x2 Cross-Over Design using Ratios
  • Tests for the Difference of Two Means in a Higher-Order Cross-Over Design
  • Tests for the Ratio of Two Means in a Higher-Order Cross-Over Design
  • M x M Cross-Over Designs
  • M-Period Cross-Over Designs using Contrasts
  • Non-Inferiority Tests for Two Means in a 2x2 Cross-Over Design using Differences
  • Non-Inferiority Tests for Two Means in a 2x2 Cross-Over Design using Ratios
  • Non-Inferiority Tests for Two Means in a Higher-Order Cross-Over Design using Differences
  • Non-Inferiority Tests for Two Means in a Higher-Order Cross-Over Design using Ratios
  • Equivalence Tests for Two Means in a 2x2 Cross-Over Design using Differences
  • Equivalence Tests for Two Means in a 2x2 Cross-Over Design using Ratios
  • Equivalence Tests for Two Means in a Higher-Order Cross-Over Design using Differences
  • Equivalence Tests for Two Means in a Higher-Order Cross-Over Design using Ratios
  • Superiority by a Margin Tests for Two Means in a 2x2 Cross-Over Design using Differences
  • Superiority by a Margin Tests for Two Means in a 2x2 Cross-Over Design using Ratios
  • Superiority by a Margin Tests for Two Means in a Higher-Order Cross-Over Design using Differences
  • Superiority by a Margin Tests for Two Means in a Higher-Order Cross-Over Design using Ratios
  • Conditional Power of 2x2 Cross-Over Designs
  • Tests for the Odds Ratio of Two Proportions in a 2x2 Cross-Over Design
  • Non-Inferiority Tests for the Odds Ratio of Two Proportions in a 2x2 Cross-Over Design
  • Superiority by a Margin Tests for the Odds Ratio of Two Proportions in a 2x2 Cross-Over Design
  • Equivalence Tests for the Odds Ratio of Two Proportions in a 2x2 Cross-Over Design
  • Tests for the Difference of Two Proportions in a 2x2 Cross-Over Design
  • Non-Inferiority Tests for the Difference of Two Proportions in a 2x2 Cross-Over Design
  • Superiority by a Margin Tests for the Difference of Two Proportions in a 2x2 Cross-Over Design
  • Equivalence Tests for the Difference of Two Proportions in a 2x2 Cross-Over Design
  • Tests for the Ratio of Two Poisson Rates in a 2x2 Cross-Over Design
  • Non-Inferiority Tests for the Ratio of Two Poisson Rates in a 2x2 Cross-Over Design
  • Superiority by a Margin Tests for the Ratio of Two Poisson Rates in a 2x2 Cross-Over Design
  • Equivalence Tests for the Ratio of Two Poisson Rates in a 2x2 Cross-Over Design
  • Tests for the Generalized Odds Ratio for Ordinal Data in a 2x2 Cross-Over Design
  • Non-Inferiority Tests for the Generalized Odds Ratio for Ordinal Data in a 2x2 Cross-Over Design
  • Superiority by a Margin Tests for the Gen. Odds Ratio for Ordinal Data in a 2x2 Cross-Over Design
  • Equivalence Tests for the Generalized Odds Ratio for Ordinal Data in a 2x2 Cross-Over Design
  • Tests for Pairwise Proportion Differences in a Williams Cross-Over Design
  • Non-Inferiority Tests for Pairwise Proportion Differences in a Williams Cross-Over Design
  • Superiority by a Margin Tests for Pairwise Proportion Differences in a Williams Cross-Over Design
  • Equivalence Tests for Pairwise Proportion Differences in a Williams Cross-Over Design
  • Tests for Pairwise Mean Differences in a Williams Cross-Over Design
  • Non-Inferiority Tests for Pairwise Mean Differences in a Williams Cross-Over Design
  • Superiority by a Margin Tests for Pairwise Mean Differences in a Williams Cross-Over Design
  • Equivalence Tests for Pairwise Mean Differences in a Williams Cross-Over Design
  • Tests for Two Between-Subject Variances in a 2×2M Replicated Cross-Over Design
  • Non-Unity Null Tests for Two Between-Subject Variances in a 2×2M Replicated Cross-Over Design
  • Non-Inferiority Tests for Two Between-Subject Variances in a 2×2M Replicated Cross-Over Design
  • Superiority by a Margin Tests for Two Between-Subject Variances in a 2×2M Replicated Cross-Over Design
  • Tests for Two Total Variances in a 2×2M Replicated Cross-Over Design
  • Non-Unity Null Tests for Two Total Variances in a 2×2M Replicated Cross-Over Design
  • Non-Inferiority Tests for Two Total Variances in a 2×2M Replicated Cross-Over Design
  • Superiority by a Margin Tests for Two Total Variances in a 2×2M Replicated Cross-Over Design
  • Tests for Two Total Variances in a 2×2 Cross-Over Design
  • Non-Unity Null Tests for Two Total Variances in a 2×2 Cross-Over Design
  • Non-Inferiority Tests for Two Total Variances in a 2×2 Cross-Over Design
  • Superiority by a Margin Tests for Two Total Variances in a 2×2 Cross-Over Design

Equivalence - 71 Scenarios

  • Equivalence Tests for Paired Means (Simulation) – T-Test
  • Equivalence Tests for Paired Means (Simulation) – Wilcoxon Test
  • Equivalence Tests for Paired Means (Simulation) – Sign Test
  • Equivalence Tests for Paired Means (Simulation) – Bootstrap
  • Equivalence Tests for Two Means using Differences
  • Equivalence Tests for Two Means using Differences – Unequal n’s
  • Equivalence Tests for Two Means using Ratios
  • Equivalence Tests for the Ratio of Two Poisson Rates
  • Equivalence Tests for the Ratio of Two Poisson Rates – Unequal n’s
  • Equivalence Tests for the Ratio of Two Negative Binomial Rates
  • Equivalence Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s
  • Equivalence Tests for the Difference Between Two Paired Means
  • Equivalence Tests for Two Means using Ratios – Unequal n’s
  • Equivalence Tests for Two Means (Simulation) – T-Test
  • Equivalence Tests for Two Means (Simulation) – T-Test – Unequal n’s
  • Equivalence Tests for Two Means (Simulation) – Welch Test
  • Equivalence Tests for Two Means (Simulation) – Welch Test – Unequal n’s
  • Equivalence Tests for Two Means (Simulation) – Trim T-Test
  • Equivalence Tests for Two Means (Simulation) – Trim T-Test – Unequal n’s
  • Equivalence Tests for Two Means (Simulation) – Trim Welch Test
  • Equivalence Tests for Two Means (Simulation) – Trim Welch Test – Unequal n’s
  • Equivalence Tests for Two Means (Simulation) – Mann-Whitney Test
  • Equivalence Tests for Two Means (Simulation) – Mann-Whitney Test – Unequal n’s
  • Equivalence Tests for Two Means in a 2x2 Cross-Over Design
  • Equivalence Tests for Two Means in a 2x2 Cross-Over Design using Ratios
  • Equivalence Tests for Two Means in a Higher-Order Cross-Over Design
  • Equivalence Tests for Two Means in a Higher-Order Cross-Over Design using Ratios
  • Equivalence Tests for Two Means in a Cluster-Randomized Design
  • Equivalence Tests for One Proportion – Exact Test
  • Equivalence Tests for One Proportion – Z Test using S(P0)
  • Equivalence Tests for One Proportion – Z Test using S(P0) with Continuity Correction
  • Equivalence Tests for One Proportion – Z Test using S(Phat)
  • Equivalence Tests for One Proportion – Z Test using S(Phat) with Continuity Correction
  • Equivalence Tests for Two Proportions – Z Test (Pooled)
  • Equivalence Tests for Two Proportions – Z Test (Pooled) – Unequal n’s
  • Equivalence Tests for Two Proportions – Z Test (Unpooled)
  • Equivalence Tests for Two Proportions – Z Test (Unpooled) – Unequal n’s
  • Equivalence Tests for Two Proportions – Z Test (Pooled) with Continuity Correction
  • Equivalence Tests for Two Proportions – Z Test (Pooled) with Continuity Correction – Unequal n’s
  • Equivalence Tests for Two Proportions – Z Test (Unpooled) with Continuity Correction
  • Equivalence Tests for Two Proportions – Z Test (Unpooled) with Continuity Correction – Unequal n’s
  • Equivalence Tests for Two Proportions – Likelihood Score (Farrington & Manning)
  • Equivalence Tests for Two Proportions – Likelihood Score (Farrington & Manning) – Unequal n’s
  • Equivalence Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen)
  • Equivalence Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
  • Equivalence Tests for Two Proportions – Likelihood Score (Gart & Nam)
  • Equivalence Tests for Two Proportions – Likelihood Score (Gart & Nam) – Unequal n’s
  • Equivalence Tests for Two Correlated Proportions
  • Equivalence Tests for Two Correlated Proportions using Ratios
  • Equivalence Tests for Two Proportions in a Cluster-Randomized Design
  • Equivalence Tests for Two Proportions in a Cluster-Randomized Design – Unequal n’s
  • Equivalence Tests for Two Proportions in a Cluster-Randomized Design using Ratios
  • Equivalence Tests for Two Proportions in a Cluster-Randomized Design using Ratios – Unequal n’s
  • Equivalence Tests for Two Survival Curves using Cox’s Proportional Hazards Model
  • Equivalence Tests for Two Survival Curves using Cox’s Proportional Hazards Model – Unequal n’s
  • Equivalence Tests for the Difference of Two Hazard Rates Assuming an Exponential Model
  • Equivalence Tests for the Difference of Two Hazard Rates Assuming an Exponential Model – Unequal n’s
  • Equivalence Tests for the Odds Ratio of Two Proportions in a 2x2 Cross-Over Design
  • Equivalence Tests for the Difference of Two Proportions in a 2x2 Cross-Over Design
  • Equivalence Tests for the Ratio of Two Poisson Rates in a 2x2 Cross-Over Design
  • Equivalence Tests for the Generalized Odds Ratio for Ordinal Data in a 2x2 Cross-Over Design
  • Equivalence Tests for Pairwise Proportion Differences in a Williams Cross-Over Design
  • Equivalence Tests for Pairwise Mean Differences in a Williams Cross-Over Design
  • Equivalence Tests for Simple Linear Regression
  • Equivalence Tests for the Ratio of Two Within-Subject Variances in a Parallel Design
  • Equivalence Tests for the Ratio of Two Within-Subject Variances in a 2×2M Replicated Cross-Over Design
  • Equivalence Tests for the Difference of Two Within-Subject CV's in a Parallel Design
  • Equivalence Tests for the Ratio of Two Variances
  • One-Sample Z-Tests for Equivalence
  • Paired Z-Tests for Equivalence
  • Two-Sample T-Tests for Equivalence Allowing Unequal Variance

Exponential Distribution Parameter Confidence Intervals - 4 Scenarios

  • Confidence Intervals for the Exponential Lifetime Mean
  • Confidence Intervals for an Exponential Lifetime Percentile
  • Confidence Intervals for Exponential Reliability
  • Confidence Intervals for the Exponential Hazard Rate

Group-Sequential Tests - 114 Scenarios

  • Group-Sequential Tests for One Mean with Known Variance (Simulation)
  • Group-Sequential T-Tests for One Mean (Simulation)
  • Group-Sequential Tests for Two Means with Known Variances (Simulation)
  • Group-Sequential T-Tests for Two Means (Simulation)
  • Group-Sequential Tests for Two Proportions (Simulation)
  • Group-Sequential Tests for Two Means
  • Group-Sequential Tests for Two Means – Unequal n’s
  • Group-Sequential Tests for Two Means (Simulation) Assuming Normality
  • Group-Sequential Tests for Two Means (Simulation) Assuming Normality – Unequal n’s
  • Group-Sequential Tests for Two Means (Simulation) General Assumptions
  • Group-Sequential Tests for Two Means (Simulation) General Assumptions – Unequal n’s
  • Group-Sequential Tests for Two Means (Simulation) General Assumptions – Mann-Whitney Test
  • Group-Sequential Tests for Two Means (Simulation) General Assumptions – Mann-Whitney Test – Unequal n’s
  • Group-Sequential Non-Inferiority Tests for Two Means
  • Group-Sequential Non-Inferiority Tests for Two Means – Unequal n’s
  • Group-Sequential Non-Inferiority Tests for Two Means – Mann-Whitney Test
  • Group-Sequential Non-Inferiority Tests for Two Means – Mann-Whitney Test – Unequal n’s
  • Group-Sequential Non-Inferiority Tests for Two Means with Known Variances (Simulation)
  • Group-Sequential Non-Inferiority Tests for Two Means with Known Variances (Simulation) – Unequal n’s
  • Group-Sequential Superiority by a Margin Tests for Two Means with Known Variances (Simulation)
  • Group-Sequential Superiority by a Margin Tests for Two Means with Known Variances (Simulation) – Unequal n’s
  • Group-Sequential Non-Inferiority T-Tests for Two Means (Simulation)
  • Group-Sequential Non-Inferiority T-Tests for Two Means (Simulation) – Unequal n’s
  • Group-Sequential Superiority by a Margin T-Tests for Two Means (Simulation)
  • Group-Sequential Superiority by a Margin T-Tests for Two Means (Simulation) – Unequal n’s
  • Group-Sequential Tests for One Proportion in a Fleming Design
  • Group-Sequential Tests for Two Proportions
  • Group-Sequential Tests for Two Proportions – Unequal n’s
  • Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Pooled)
  • Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Pooled) – Unequal n’s
  • Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Unpooled)
  • Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Unpooled) – Unequal n’s
  • Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction
  • Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction – Unequal n’s
  • Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction
  • Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction – Unequal n’s
  • Group-Sequential Tests for Two Proportions (Simulation) – Mantel-Haenszel
  • Group-Sequential Tests for Two Proportions (Simulation) – Mantel-Haenszel – Unequal n’s
  • Group-Sequential Tests for Two Proportions (Simulation) – Fisher’s Exact
  • Group-Sequential Tests for Two Proportions (Simulation) – Fisher’s Exact – Unequal n’s
  • Group-Sequential Tests for Two Proportions using Differences (Simulation)
  • Group-Sequential Tests for Two Proportions using Ratios (Simulation)
  • Group-Sequential Tests for Two Proportions using Odds Ratios (Simulation)
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Pooled)
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Pooled) – Unequal n’s
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Unpooled)
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Unpooled) – Unequal n’s
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction – Unequal n’s
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction – Unequal n’s
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning)
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning) – Unequal n’s
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen)
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam)
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam) – Unequal n’s
  • Group-Sequential Non-Inferiority Tests for Two Proportions using Differences (Simulation)
  • Group-Sequential Non-Inferiority Tests for Two Proportions using Ratios (Simulation)
  • Group-Sequential Non-Inferiority Tests for Two Proportions using Odds Ratios (Simulation)
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled)
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled) – Unequal n’s
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled)
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled) – Unequal n’s
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction – Unequal n’s
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction – Unequal n’s
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning)
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning) – Unequal n’s
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen)
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam)
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam) – Unequal n’s
  • Group-Sequential Superiority by a Margin Tests for Two Proportions using Differences (Simulation)
  • Group-Sequential Superiority by a Margin Tests for Two Proportions using Ratios (Simulation)
  • Group-Sequential Superiority by a Margin Tests for Two Proportions using Odds Ratios (Simulation)
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation)
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Unequal n’s
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation)
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Unequal n’s
  • Group-Sequential Logrank Tests of Two Survival Curves assuming Exponential Survival
  • Group-Sequential Logrank Tests of Two Survival Curves assuming Proportional Hazards
  • Group-Sequential Logrank Tests (Simulation)
  • Group-Sequential Logrank Tests (Simulation) – Unequal n’s
  • Group-Sequential Logrank Tests (Simulation) – Gehan-Wilcoxon
  • Group-Sequential Logrank Tests (Simulation) – Gehan-Wilcoxon – Unequal n’s
  • Group-Sequential Logrank Tests (Simulation) – Tarone-Ware
  • Group-Sequential Logrank Tests (Simulation) – Tarone-Ware – Unequal n’s
  • Group-Sequential Logrank Tests (Simulation) – Peto-Peto
  • Group-Sequential Logrank Tests (Simulation) – Peto-Peto – Unequal n’s
  • Group-Sequential Logrank Tests (Simulation) – Modified Peto-Peto
  • Group-Sequential Logrank Tests (Simulation) – Modified Peto-Peto – Unequal n’s
  • Group-Sequential Logrank Tests (Simulation) – Fleming-Harrington Custom Parameters
  • Group-Sequential Logrank Tests (Simulation) – Fleming-Harrington Custom Parameters – Unequal n’s
  • Group-Sequential Logrank Tests using Hazard Rates (Simulation)
  • Group-Sequential Logrank Tests using Median Survival Times (Simulation)
  • Group-Sequential Logrank Tests using Proportion Surviving (Simulation)
  • Group-Sequential Logrank Tests using Mortality (Simulation)
  • Group-Sequential Tests for Two Hazard Rates (Simulation)
  • Group-Sequential Tests for Two Hazard Rates (Simulation) – Unequal n’s
  • Group-Sequential Non-Inferiority Tests for Two Hazard Rates (Simulation)
  • Group-Sequential Non-Inferiority Tests for Two Hazard Rates (Simulation) – Unequal n’s
  • Group-Sequential Superiority by a Margin Tests for Two Hazard Rates (Simulation)
  • Group-Sequential Superiority by a Margin Tests for Two Hazard Rates (Simulation) – Unequal n’s
  • Group-Sequential Tests for One Hazard Rate (Simulation)
  • Group-Sequential Non-Inferiority Tests for One Hazard Rate (Simulation)
  • Group-Sequential Superiority by a Margin Tests for One Hazard Rate (Simulation)
  • Group-Sequential Tests for Two Poisson Rates (Simulation)
  • Group-Sequential Non-Inferiority Tests for Two Poisson Rates (Simulation)
  • Group-Sequential Superiority by a Margin Tests for Two Poisson Rates (Simulation)
  • Group-Sequential Tests for One Poisson Rate (Simulation)
  • Group-Sequential Non-Inferiority Tests for One Poisson Rate (Simulation)
  • Group-Sequential Superiority by a Margin Tests for One Poisson Rate (Simulation)

Means - One - 39 Scenarios

  • Tests for One Mean – T-Test
  • Tests for One Mean – Z-Test
  • Tests for One Mean – Wilcoxon Nonparametric Adjustment
  • Tests for One Mean – (Simulation) – T-Test
  • Tests for One Mean – (Simulation) – Wilcoxon Test
  • Tests for One Mean – (Simulation) – Sign Test
  • Tests for One Mean – (Simulation) – Bootstrap Test
  • Tests for One Mean – (Simulation) – Exponential Mean Test
  • Tests for One Exponential Mean with Replacement
  • Tests for One Exponential Mean without Replacement
  • Tests for One Mean using Effect Size
  • Tests for One Poisson Mean
  • Confidence Intervals for One Mean
  • Confidence Intervals for One Mean – Known Standard Deviation
  • Confidence Intervals for One Mean with Tolerance Probability
  • Confidence Intervals for One Mean with Tolerance Probability – Known Standard Deviation
  • Confidence Intervals for One Mean in a Stratified Design
  • Confidence Intervals for One Mean in a Cluster-Randomized Design
  • Confidence Intervals for One Mean in a Stratified Cluster-Randomized Design
  • Non-Inferiority Tests for One Mean
  • Superiority by a Margin Tests for One Mean
  • Multiple One-Sample T-Tests – False Discovery Rate
  • Multiple One-Sample Z-Tests – False Discovery Rate
  • Multiple One-Sample T-Tests – Experiment-wise Error Rate
  • Multiple One-Sample Z-Tests – Experiment-wise Error Rate
  • Conditional Power of One-Sample T-Tests
  • Hotelling’s One-Sample T2
  • Conditional Power of One-Sample T-Tests for Non-Inferiority
  • Conditional Power of One-Sample T-Tests for Superiority by a Margin
  • One-Sample T-Tests
  • One-Sample Z-Tests
  • One-Sample Z-Tests for Non-Inferiority
  • One-Sample Z-Tests for Superiority by a Margin
  • One-Sample Z-Tests for Equivalence
  • Wilcoxon Signed-Rank Tests
  • Wilcoxon Signed-Rank Tests for Non-Inferiority
  • Wilcoxon Signed-Rank Tests for Superiority by a Margin
  • Group-Sequential Tests for One Mean with Known Variance (Simulation)
  • Group-Sequential T-Tests for One Mean (Simulation)

Means - Two Correlated or Paired - 30 Scenarios

  • Tests for Paired Means – T-Test
  • Tests for Paired Means – Z-Test
  • Tests for Paired Means (Simulation) – T-Test
  • Tests for Paired Means (Simulation) – Wilcoxon Test
  • Tests for Paired Means (Simulation) – Sign Test
  • Tests for Paired Means (Simulation) – Bootstrap Test
  • Tests for Paired Means using Effect Size
  • Tests for the Matched-Pair Difference of Two Means in a Cluster-Randomized Design
  • Tests for the Matched-Pair Difference of Two Event Rates in a Cluster-Randomized Design
  • Confidence Intervals for Paired Means with Known Standard Deviation
  • Confidence Intervals for Paired Means with Sample Standard Deviation
  • Confidence Intervals for Paired Means with Tolerance Probability with Known Standard Deviation
  • Confidence Intervals for Paired Means with Tolerance Probability with Sample Standard Deviation
  • Superiority by a Margin Tests for Paired Means
  • Equivalence Tests for Paired Means
  • Non-Inferiority Tests for Paired Means
  • Multiple Paired T-Tests
  • Conditional Power of Paired T-Tests
  • Paired T-Tests
  • Paired T-Tests for Non-Inferiority
  • Paired T-Tests for Superiority by a Margin
  • Paired Z-Tests
  • Paired Z-Tests for Non-Inferiority
  • Paired Z-Tests for Superiority by a Margin
  • Paired Z-Tests for Equivalence
  • Paired Wilcoxon Signed-Rank Tests
  • Paired Wilcoxon Signed-Rank Tests for Non-Inferiority
  • Paired Wilcoxon Signed-Rank Tests for Superiority by a Margin
  • Conditional Power of Paired T-Tests for Non-Inferiority
  • Conditional Power of Paired T-Tests for Superiority by a Margin

Means - Two Independent - 153 Scenarios

  • Two-Sample T-Tests Assuming Equal Variances
  • Two-Sample T-Tests Assuming Equal Variances – Unequal n’s
  • Two-Sample T-Tests Allowing Unequal Variances
  • Two-Sample T-Tests Allowing Unequal Variances – Unequal n’s
  • Tests for Two Means (Simulation) – T-Test
  • Tests for Two Means (Simulation) – T-Test – Unequal n’s
  • Tests for Two Means (Simulation) – Welch’s T-Test
  • Tests for Two Means (Simulation) – Welch’s T-Test – Unequal n’s
  • Tests for Two Means (Simulation) – Trimmed T-Test
  • Tests for Two Means (Simulation) – Trimmed T-Test – Unequal n’s
  • Tests for Two Means (Simulation) – Trimmed Welch’s T-Test
  • Tests for Two Means (Simulation) – Trimmed Welch’s T-Test – Unequal n’s
  • Two-Sample T-Tests using Effect Size
  • Two-Sample T-Tests using Effect Size – Unequal n’s
  • Mann-Whitney-Wilcoxon Tests (Simulation)
  • Mann-Whitney-Wilcoxon Tests (Simulation) – Unequal n’s
  • Two-Sample Z-Tests Assuming Equal Variances
  • Two-Sample Z-Tests Assuming Equal Variances – Unequal n’s
  • Two-Sample Z-Tests Allowing Unequal Variances
  • Two-Sample Z-Tests Allowing Unequal Variances – Unequal n’s
  • Tests for Two Means using Ratios
  • Tests for Two Means using Ratios – Unequal n’s
  • Tests for Two Exponential Means
  • Tests for Two Exponential Means – Unequal n’s
  • Tests for Two Poisson Means – MLE
  • Tests for Two Poisson Means – MLE – Unequal n’s
  • Tests for Two Poisson Means – CMLE
  • Tests for Two Poisson Means – CMLE – Unequal n’s
  • Tests for Two Poisson Means – Ln(MLE)
  • Tests for Two Poisson Means – Ln(MLE) – Unequal n’s
  • Tests for Two Poisson Means – Ln(CMLE)
  • Tests for Two Poisson Means – Ln(CMLE) – Unequal n’s
  • Tests for Two Poisson Means – Variance Stabilized
  • Tests for Two Poisson Means – Variance Stabilized – Unequal n’s
  • Tests for Two Poisson Rates in a Stepped-Wedge Cluster-Randomized Design - Complete Design
  • Tests for Two Poisson Rates in a Stepped-Wedge Cluster-Randomized Design - Incomplete Design (Custom)
  • Confidence Intervals for the Difference between Two Means Assuming Equal Standard Deviations
  • Confidence Intervals for the Difference between Two Means Assuming Equal Standard Deviations – Unequal n’s
  • Confidence Intervals for the Difference between Two Means Assuming Unequal Standard Deviations
  • Confidence Intervals for the Difference between Two Means Assuming Unequal Standard Deviations – Unequal n’s
  • Confidence Intervals for the Difference between Two Means with Tolerance Probability with Known Standard Deviation
  • Confidence Intervals for the Difference between Two Means with Tolerance Probability with Known Standard Deviation – Unequal n’s
  • Confidence Intervals for the Difference between Two Means with Tolerance Probability with Sample Standard Deviation
  • Confidence Intervals for the Difference between Two Means with Tolerance Probability with Sample Standard Deviation – Unequal n’s
  • Non-Inferiority Tests for Two Means using Differences
  • Non-Inferiority Tests for Two Means using Differences – Unequal n’s
  • Non-Inferiority Tests for Two Means using Ratios
  • Non-Inferiority Tests for Two Means using Ratios – Unequal n’s
  • Non-Inferiority Tests for the Ratio of Two Poisson Rates
  • Non-Inferiority Tests for the Ratio of Two Poisson Rates – Unequal n’s
  • Non-Inferiority Tests for the Ratio of Two Negative Binomial Rates
  • Non-Inferiority Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s
  • Non-Inferiority Tests for Two Means in a Cluster-Randomized Design
  • Group-Sequential Tests for Two Means
  • Group-Sequential Tests for Two Means – Unequal n’s
  • Group-Sequential Tests for Two Means (Simulation) Assuming Normality
  • Group-Sequential Tests for Two Means (Simulation) Assuming Normality – Unequal n’s
  • Group-Sequential Tests for Two Means (Simulation) General Assumptions
  • Group-Sequential Tests for Two Means (Simulation) General Assumptions – Unequal n’s
  • Group-Sequential Tests for Two Means (Simulation) General Assumptions – Mann-Whitney Test
  • Group-Sequential Tests for Two Means (Simulation) General Assumptions – Mann-Whitney Test – Unequal n’s
  • Group-Sequential Non-Inferiority Tests for Two Means
  • Group-Sequential Non-Inferiority Tests for Two Means – Unequal n’s
  • Group-Sequential Non-Inferiority Tests for Two Means – Mann-Whitney Test
  • Group-Sequential Non-Inferiority Tests for Two Means – Mann-Whitney Test – Unequal n’s
  • Group-Sequential Non-Inferiority Tests for Two Means with Known Variances (Simulation)
  • Group-Sequential Non-Inferiority Tests for Two Means with Known Variances (Simulation) – Unequal n’s
  • Group-Sequential Superiority by a Margin Tests for Two Means with Known Variances (Simulation)
  • Group-Sequential Superiority by a Margin Tests for Two Means with Known Variances (Simulation) – Unequal n’s
  • Group-Sequential Non-Inferiority T-Tests for Two Means (Simulation)
  • Group-Sequential Non-Inferiority T-Tests for Two Means (Simulation) – Unequal n’s
  • Group-Sequential Superiority by a Margin T-Tests for Two Means (Simulation)
  • Group-Sequential Superiority by a Margin T-Tests for Two Means (Simulation) – Unequal n’s
  • Equivalence Tests for Two Means using Differences
  • Equivalence Tests for Two Means using Differences – Unequal n’s
  • Equivalence Tests for Two Means using Ratios
  • Equivalence Tests for the Ratio of Two Poisson Rates
  • Equivalence Tests for the Ratio of Two Poisson Rates – Unequal n’s
  • Equivalence Tests for the Ratio of Two Negative Binomial Rates
  • Equivalence Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s
  • Equivalence Tests for Two Means in a Cluster-Randomized Design
  • Equivalence Tests for the Ratio of Two Means (Normal Data)
  • Equivalence Tests for Two Means using Ratios – Unequal n’s
  • Equivalence Tests for Two Means (Simulation) – T-Test
  • Equivalence Tests for Two Means (Simulation) – T-Test – Unequal n’s
  • Equivalence Tests for Two Means (Simulation) – Welch Test
  • Equivalence Tests for Two Means (Simulation) – Welch Test – Unequal n’s
  • Equivalence Tests for Two Means (Simulation) – Trim T-Test
  • Equivalence Tests for Two Means (Simulation) – Trim T-Test – Unequal n’s
  • Equivalence Tests for Two Means (Simulation) – Trim Welch Test
  • Equivalence Tests for Two Means (Simulation) – Trim Welch Test – Unequal n’s
  • Equivalence Tests for Two Means (Simulation) – Mann-Whitney Test
  • Equivalence Tests for Two Means (Simulation) – Mann-Whitney Test – Unequal n’s
  • Superiority by a Margin Tests for Two Means using Differences
  • Superiority by a Margin Tests for Two Means using Differences – Unequal n’s
  • Superiority by a Margin Tests for Two Means using Ratios
  • Superiority by a Margin Tests for Two Means using Ratios – Unequal n’s
  • Superiority by a Margin Tests for the Ratio of Two Poisson Rates
  • Superiority by a Margin Tests for the Ratio of Two Poisson Rates – Unequal n’s
  • Superiority by a Margin Tests for the Ratio of Two Negative Binomial Rates
  • Superiority by a Margin Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s
  • Superiority by a Margin Tests for Two Means in a Cluster-Randomized Design
  • Tests for Two Means from a Cluster-Randomized Design
  • Tests for Two Means from a Cluster-Randomized Design – Unequal n’s
  • Tests for Two Means in a Stepped-Wedge Cluster-Randomized Design - Complete Design
  • Tests for Two Means in a Stepped-Wedge Cluster-Randomized Design - Incomplete Design (Custom)
  • Tests for Two Means in a Multicenter Randomized Design
  • Multiple Two-Sample T-Tests – False-Discovery Rate
  • Multiple Two-Sample T-Tests – False-Discovery Rate – Unequal n’s
  • Multiple Two-Sample T-Tests – Experiment-wise Error Rate
  • Multiple Two-Sample T-Tests – Experiment-wise Error Rate – Unequal n’s
  • Tests for Two Means from a Repeated Measures Design
  • Tests for Two Means from a Repeated Measures Design – Unequal n’s
  • Tests for Two Groups of Pre-Post Scores
  • Tests for Two Groups of Pre-Post Scores – Unequal n’s
  • Conditional Power of Two-Sample T-Tests
  • Conditional Power of Two-Sample T-Tests – Unequal n’s
  • Hotelling's Two-Sample T-Squared
  • Hotelling's Two-Sample T-Squared – Unequal n’s
  • Tests for Fold Change of Two Means
  • GEE Tests for the Slope of Two Groups in a Repeated Measures Design (Continuous Outcome)
  • GEE Tests for the TAD of Two Groups in a Repeated Measures Design (Continuous Outcome)
  • Mixed Models Tests for Two Means in a 2-Level Hierarchical Design (Level-2 Randomization)
  • Mixed Models Tests for Two Means in a 2-Level Hierarchical Design (Level-1 Randomization)
  • Mixed Models Tests for the Slope Difference in a 2-Level Hierarchical Design with Fixed Slopes
  • Mixed Models Tests for the Slope Difference in a 2-Level Hierarchical Design with Random Slopes
  • Mixed Models Tests for Two Means in a 3-Level Hierarchical Design (Level-3 Randomization)
  • Mixed Models Tests for Two Means in a 3-Level Hierarchical Design (Level-2 Randomization)
  • Mixed Models Tests for Two Means in a 3-Level Hierarchical Design (Level-1 Randomization)
  • Mixed Models Tests for the Slope Diff. in a 3-Level Hier. Design with Fixed Slopes (Level-2 Rand.)
  • Mixed Models Tests for the Slope Diff. in a 3-Level Hier. Design with Random Slopes (Level-2 Rand.)
  • Mixed Models Tests for the Slope Diff. in a 3-Level Hier. Design with Fixed Slopes (Level-3 Rand.)
  • Mixed Models Tests for the Slope Diff. in a 3-Level Hier. Design with Random Slopes (Level-3 Rand.)
  • Group-Sequential Tests for Two Means with Known Variances (Simulation)
  • Group-Sequential T-Tests for Two Means (Simulation)
  • Conditional Power of Two-Sample T-Tests for Non-Inferiority
  • Conditional Power of Two-Sample T-Tests for Superiority by a Margin
  • Mixed Models Tests for Two Means at the End of Follow-Up in a 3-Level Hierarchical Design (Level-3 Randomization)
  • Mixed Models Tests for Two Means at the End of Follow-Up in a 2-Level Hierarchical Design
  • Two-Sample T-Tests for Non-Inferiority Assuming Equal Variance
  • Two-Sample T-Tests for Non-Inferiority Allowing Unequal Variance
  • Two-Sample T-Tests for Superiority by a Margin Assuming Equal Variance
  • Two-Sample T-Tests for Superiority by a Margin Allowing Unequal Variance
  • Two-Sample T-Tests for Equivalence Allowing Unequal Variance
  • Mann-Whitney U or Wilcoxon Rank-Sum Tests
  • Mann-Whitney U or Wilcoxon Rank-Sum Tests for Non-Inferiority
  • Mann-Whitney U or Wilcoxon Rank-Sum Tests for Superiority by a Margin
  • GEE Tests for Two Means in a Stratified Cluster-Randomized Design
  • GEE Tests for Two Means in a Cluster-Randomized Design
  • Tests for Two Means in a Split-Mouth Design
  • Mixed Models Tests for Two Means in a Cluster-Randomized Design

Means - 2x2 Cross-Over Designs - 11 Scenarios

  • Tests for Two Means in a 2x2 Cross-Over Design using Differences
  • Tests for Two Means in a 2x2 Cross-Over Design using Ratios
  • Non-Inferiority Tests for Two Means in a 2x2 Cross-Over Design using Differences
  • Non-Inferiority Tests for Two Means in a 2x2 Cross-Over Design using Ratios
  • Equivalence Tests for Two Means in a 2x2 Cross-Over Design using Differences
  • Equivalence Tests for Two Means in a 2x2 Cross-Over Design using Ratios
  • Superiority by a Margin Tests for Two Means in a 2x2 Cross-Over Design using Differences
  • Superiority by a Margin Tests for Two Means in a 2x2 Cross-Over Design using Ratios
  • Conditional Power of 2x2 Cross-Over Designs
  • Conditional Power of Non-Inferiority Tests for Two Means in a 2x2 Cross-Over Design
  • Conditional Power of Superiority by a Margin Tests for Two Means in a 2x2 Cross-Over Design

Means - Higher-Order Cross-Over Designs - 14 Scenarios

  • Non-Inferiority Tests for Two Means in a Higher-Order Cross-Over Design using Differences
  • Non-Inferiority Tests for Two Means in a Higher-Order Cross-Over Design using Ratios
  • Equivalence Tests for Two Means in a Higher-Order Cross-Over Design using Differences
  • Equivalence Tests for Two Means in a Higher-Order Cross-Over Design using Ratios
  • Superiority by a Margin Tests for Two Means in a Higher-Order Cross-Over Design using Differences
  • Superiority by a Margin Tests for Two Means in a Higher-Order Cross-Over Design using Ratios
  • Tests for the Difference of Two Means in a Higher-Order Cross-Over Design
  • Tests for the Ratio of Two Means in a Higher-Order Cross-Over Design
  • M x M Cross-Over Designs
  • M-Period Cross-Over Designs using Contrasts
  • Tests for Pairwise Mean Differences in a Williams Cross-Over Design
  • Non-Inferiority Tests for Pairwise Mean Differences in a Williams Cross-Over Design
  • Superiority by a Margin Tests for Pairwise Mean Differences in a Williams Cross-Over Design
  • Equivalence Tests for Pairwise Mean Differences in a Williams Cross-Over Design

Means - Many (ANOVA) - 53 Scenarios

  • One-Way Analysis of Variance
  • One-Way Analysis of Variance – Unequal n’s
  • One-Way Analysis of Variance F-Tests (Simulation)
  • One-Way Analysis of Variance F-Tests (Simulation) – Unequal n’s
  • One-Way Analysis of Variance F-Tests using Effect Size
  • One-Way Analysis of Variance F-Tests using Effect Size – Unequal n’s
  • Power Comparison of Tests of Means in One-Way Designs (Simulation)
  • Power Comparison of Tests of Means in One-Way Designs (Simulation) – Unequal n’s
  • Analysis of Covariance (ANCOVA)
  • One-Way Analysis of Variance Contrasts
  • One-Way Analysis of Variance Contrasts
  • Analysis of Covariance (ANCOVA) – Unequal n’s
  • Kruskal-Wallis Tests (Simulation)
  • Kruskal-Wallis Tests (Simulation) – Unequal n’s
  • Terry-Hoeffding Normal-Scores Tests of Means (Simulation)
  • Terry-Hoeffding Normal-Scores Tests of Means (Simulation) – Unequal n’s
  • Van der Waerden Normal Quantiles Tests of Means (Simulation)
  • Van der Waerden Normal Quantiles Tests of Means (Simulation) – Unequal n’s
  • Pair-wise Multiple Comparisons (Simulation) – Tukey-Kramer
  • Pair-wise Multiple Comparisons (Simulation) – Tukey-Kramer – Unequal n’s
  • Pair-wise Multiple Comparisons (Simulation) – Kruskal-Wallis
  • Pair-wise Multiple Comparisons (Simulation) – Kruskal-Wallis – Unequal n’s
  • Pair-wise Multiple Comparisons (Simulation) – Games-Howell
  • Pair-wise Multiple Comparisons (Simulation) – Games-Howell – Unequal n’s
  • Multiple Comparisons of Treatments vs. a Control (Simulation) – Dunnett
  • Multiple Comparisons of Treatments vs. a Control (Simulation) – Dunnett – Unequal n’s
  • Multiple Comparisons of Treatments vs. a Control (Simulation) – Kruskal-Wallis
  • Multiple Comparisons of Treatments vs. a Control (Simulation) – Kruskal-Wallis – Unequal n’s
  • Multiple Comparisons – All Pairs – Tukey-Kramer
  • Multiple Comparisons – All Pairs – Tukey-Kramer – Unequal n’s
  • Multiple Comparisons – With Best – Hsu
  • Multiple Comparisons – With Best – Hsu – Unequal n’s
  • Multiple Comparisons – With Control – Dunnett
  • Multiple Comparisons – With Control – Dunnett – Unequal n’s
  • Multiple Contrasts (Simulation) – Dunn-Bonferroni
  • Multiple Contrasts (Simulation) – Dunn-Bonferroni – Unequal n’s
  • Multiple Contrasts (Simulation) – Dunn-Welch
  • Multiple Contrasts (Simulation) – Dunn-Welch – Unequal n’s
  • Williams Test for the Minimum Effective Dose
  • Factorial Analysis of Variance
  • Factorial Analysis of Variance using Effect Size
  • Randomized Block Analysis of Variance
  • Repeated Measures Analysis
  • Repeated Measures Analysis – Unequal n’s
  • One-Way Repeated Measures
  • One-Way Repeated Measures Contrasts
  • Confidence Intervals for One-Way Repeated Measures Contrasts
  • MANOVA
  • MANOVA – Unequal n’s
  • Mixed Models
  • Mixed Models – Unequal n’s
  • GEE Tests for the Slope of Multiple Groups in a Repeated Measures Design (Continuous Outcome)
  • GEE Tests for the TAD of Multiple Groups in a Repeated Measures Design (Continuous Outcome)
  • GEE Tests for Multiple Means in a Cluster-Randomized Design

Mediation Effects - 6 Scenarios

  • Tests of Mediation Effect using the Sobel Test
  • Tests of Mediation Effect in Linear Regression
  • Tests of Mediation Effect in Logistic Regression
  • Tests of Mediation Effect in Poisson Regression
  • Tests of Mediation Effect in Cox Regression
  • Joint Tests of Mediation in Linear Regression with Continuous Variables

Michaelis-Menten Parameters - 2 Scenarios

  • Confidence Intervals for Michaelis-Menten Parameters
  • Confidence Intervals for Michaelis-Menten Parameters – Unequal n’s

Mixed Models - 29 Scenarios

  • Mixed Models
  • Mixed Models – Unequal n’s
  • Mixed Models Tests for Two Means in a 2-Level Hierarchical Design (Level-2 Randomization)
  • Mixed Models Tests for Two Means in a 2-Level Hierarchical Design (Level-1 Randomization)
  • Mixed Models Tests for the Slope Difference in a 2-Level Hierarchical Design with Fixed Slopes
  • Mixed Models Tests for the Slope Difference in a 2-Level Hierarchical Design with Random Slopes
  • Mixed Models Tests for Two Means in a 3-Level Hierarchical Design (Level-3 Randomization)
  • Mixed Models Tests for Two Means in a 3-Level Hierarchical Design (Level-2 Randomization)
  • Mixed Models Tests for Two Means in a 3-Level Hierarchical Design (Level-1 Randomization)
  • Mixed Models Tests for the Slope Diff. in a 3-Level Hier. Design with Fixed Slopes (Level-2 Rand.)
  • Mixed Models Tests for the Slope Diff. in a 3-Level Hier. Design with Random Slopes (Level-2 Rand.)
  • Mixed Models Tests for the Slope Diff. in a 3-Level Hier. Design with Fixed Slopes (Level-3 Rand.)
  • Mixed Models Tests for the Slope Diff. in a 3-Level Hier. Design with Random Slopes (Level-3 Rand.)
  • Mixed Models Tests for Two Means at the End of Follow-Up in a 3-Level Hierarchical Design (Level-3 Randomization)
  • Mixed Models Tests for Two Means at the End of Follow-Up in a 2-Level Hierarchical Design
  • Mixed Models Tests for Two Means at the End of Follow-Up in a 3-Level Hierarchical Design (Level-3 Randomization)
  • Mixed Models Tests for Two Means at the End of Follow-Up in a 2-Level Hierarchical Design
  • Mixed Models Tests for Interaction in a 2×2 Factorial 2-Level Hierarchical Design (Level-2 Randomization)
  • Mixed Models Tests for Interaction in a 2×2 Factorial 2-Level Hierarchical Design (Level-1 Randomization)
  • Mixed Models Tests for Interaction in a 2×2 Factorial 3-Level Hierarchical Design (Level-3 Randomization)
  • Mixed Models Tests for Interaction in a 2×2 Factorial 3-Level Hierarchical Design (Level-2 Randomization)
  • Mixed Models Tests for Interaction in a 2×2 Factorial 3-Level Hierarchical Design (Level-1 Randomization)
  • Mixed Models Tests for Slope-Interaction in a 2×2 Factorial 3-Level Hierarchical Design with Random Slopes (Level-3 Randomization)
  • Mixed Models Tests for Slope-Interaction in a 2×2 Factorial 3-Level Hierarchical Design with Random Slopes (Level-2 Randomization)
  • Mixed Models Tests for Slope-Interaction in a 2×2 Factorial 2-Level Hierarchical Design with Random Slopes (Level-2 Randomization)
  • Mixed Models Tests for Slope-Interaction in a 2×2 Factorial 3-Level Hierarchical Design with Fixed Slopes (Level-3 Randomization)
  • Mixed Models Tests for Slope-Interaction in a 2×2 Factorial 3-Level Hierarchical Design with Fixed Slopes (Level-2 Randomization)
  • Mixed Models Tests for Slope-Interaction in a 2×2 Factorial 2-Level Hierarchical Design with Fixed Slopes (Level-2 Randomization)
  • Mixed Models Tests for Two Means in a Cluster-Randomized Design

Non-Inferiority - 97 Scenarios

  • Non-Inferiority Tests for One Mean
  • Non-Inferiority Tests for Two Means using Differences
  • Non-Inferiority Tests for Two Means using Differences – Unequal n’s
  • Non-Inferiority Tests for Two Means using Ratios
  • Non-Inferiority Tests for Two Means using Ratios – Unequal n’s
  • Non-Inferiority Tests for the Ratio of Two Poisson Rates
  • Non-Inferiority Tests for the Ratio of Two Poisson Rates – Unequal n’s
  • Non-Inferiority Tests for the Ratio of Two Negative Binomial Rates
  • Non-Inferiority Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s
  • Group-Sequential Non-Inferiority Tests for Two Means
  • Group-Sequential Non-Inferiority Tests for Two Means – Unequal n’s
  • Group-Sequential Non-Inferiority Tests for Two Means – Mann-Whitney Test
  • Group-Sequential Non-Inferiority Tests for Two Means – Mann-Whitney Test – Unequal n’s
  • Non-Inferiority Tests for Two Means in a 2x2 Cross-Over Design using Differences
  • Non-Inferiority Tests for Two Means in a 2x2 Cross-Over Design using Ratios
  • Non-Inferiority Tests for Two Means in a Higher-Order Cross-Over Design using Differences
  • Non-Inferiority Tests for Two Means in a Higher-Order Cross-Over Design using Ratios
  • Non-Inferiority Tests for Two Means in a Cluster-Randomized Design
  • Non-Inferiority Tests for One Proportion – Exact
  • Non-Inferiority Tests for One Proportion – Z-Test using S(P0)
  • Non-Inferiority Tests for One Proportion – Z-Test using S(P0) with Continuity Correction
  • Non-Inferiority Tests for One Proportion – Z-Test using S(Phat)
  • Non-Inferiority Tests for One Proportion – Z-Test using S(Phat) with Continuity Correction
  • Non-Inferiority Tests for One Proportion using Differences
  • Non-Inferiority Tests for One Proportion using Ratios
  • Non-Inferiority Tests for One Proportion using Odds Ratios
  • Non-Inferiority Tests for Two Proportions – Z-Test (Pooled)
  • Non-Inferiority Tests for Two Proportions – Z-Test (Pooled) – Unequal n’s
  • Non-Inferiority Tests for Two Proportions – Z-Test (Unpooled)
  • Non-Inferiority Tests for Two Proportions – Z-Test (Unpooled) – Unequal n’s
  • Non-Inferiority Tests for Two Proportions – Z-Test (Pooled) with Continuity Correction
  • Non-Inferiority Tests for Two Proportions – Z-Test (Pooled) with Continuity Correction – Unequal n’s
  • Non-Inferiority Tests for Two Proportions – Z-Test (Unpooled) with Continuity Correction
  • Non-Inferiority Tests for Two Proportions – Z-Test (Unpooled) with Continuity Correction – Unequal n’s
  • Non-Inferiority Tests for Two Proportions – Likelihood Score (Farrington & Manning)
  • Non-Inferiority Tests for Two Proportions – Likelihood Score (Farrington & Manning) – Unequal n’s
  • Non-Inferiority Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen)
  • Non-Inferiority Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
  • Non-Inferiority Tests for Two Proportions – Likelihood Score (Gart & Nam)
  • Non-Inferiority Tests for Two Proportions – Likelihood Score (Gart & Nam) – Unequal n’s
  • Non-Inferiority Tests for Two Proportions using Differences
  • Non-Inferiority Tests for Two Proportions using Ratios
  • Non-Inferiority Tests for Two Proportions using Odds Ratios
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning)
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning) – Unequal n’s
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen)
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam)
  • Group-Sequential Non-Inferiority Tests for Two Proportions using Differences (Simulation)
  • Group-Sequential Non-Inferiority Tests for Two Proportions using Ratios (Simulation)
  • Group-Sequential Non-Inferiority Tests for Two Proportions using Odds Ratios (Simulation)
  • Group-Sequential Non-Inferiority Tests for Two Hazard Rates (Simulation)
  • Group-Sequential Non-Inferiority Tests for Two Hazard Rates (Simulation) – Unequal n’s
  • Group-Sequential Non-Inferiority Tests for Two Means with Known Variances (Simulation)
  • Group-Sequential Non-Inferiority Tests for Two Means with Known Variances (Simulation) – Unequal n’s
  • Group-Sequential Non-Inferiority T-Tests for Two Means (Simulation)
  • Group-Sequential Non-Inferiority T-Tests for Two Means (Simulation) – Unequal n’s
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation)
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Unequal n’s
  • Non-Inferiority Tests for Two Correlated Proportions using Differences
  • Non-Inferiority Tests for Two Correlated Proportions using Ratios
  • Non-Inferiority Tests for Two Proportions in a Cluster-Randomized Design – Z-Test (Pooled)
  • Non-Inferiority Tests for Two Proportions in a Cluster-Randomized Design – Z-Test (Pooled) – Unequal n’s
  • Non-Inferiority Tests for Two Proportions in a Cluster-Randomized Design – Z-Test (Unpooled)
  • Non-Inferiority Tests for Two Proportions in a Cluster-Randomized Design – Z-Test (Unpooled) – Unequal n’s
  • Non-Inferiority Tests for Two Proportions in a Cluster-Randomized Design – Likelihood Score (Farrington & Manning)
  • Non-Inferiority Tests for Two Proportions in a Cluster-Randomized Design – Likelihood Score (Farrington & Manning) – Unequal n’s
  • Non-Inferiority Tests for Two Proportions in a Cluster-Randomized Design using Differences
  • Non-Inferiority Tests for Two Proportions in a Cluster-Randomized Design using Ratios
  • Non-Inferiority Tests for Two Survival Curves Using Cox’s Proportional Hazards Model
  • Non-Inferiority Tests for Two Survival Curves Using Cox’s Proportional Hazards Model – Unequal n’s
  • Non-Inferiority Tests for the Difference of Two Hazard Rates Assuming an Exponential Model
  • Non-Inferiority Tests for the Difference of Two Hazard Rates Assuming an Exponential Model – Unequal n’s
  • Non-Inferiority Logrank Tests
  • Non-Inferiority Logrank Tests – Unequal n’s
  • Non-Inferiority Tests for the Odds Ratio of Two Proportions in a 2x2 Cross-Over Design
  • Non-Inferiority Tests for the Difference of Two Proportions in a 2x2 Cross-Over Design
  • Non-Inferiority Tests for the Ratio of Two Poisson Rates in a 2x2 Cross-Over Design
  • Non-Inferiority Tests for the Generalized Odds Ratio for Ordinal Data in a 2x2 Cross-Over Design
  • Non-Inferiority Tests for Pairwise Proportion Differences in a Williams Cross-Over Design
  • Non-Inferiority Tests for Pairwise Mean Differences in a Williams Cross-Over Design
  • Conditional Power of Two-Sample T-Tests for Non-Inferiority
  • Conditional Power of Non-Inferiority Tests for the Difference Between Two Proportions
  • Conditional Power of Non-Inferiority Logrank Tests
  • Conditional Power of Non-Inferiority Tests for Two Means in a 2x2 Cross-Over Design
  • Conditional Power of One-Sample T-Tests for Non-Inferiority
  • Conditional Power of Paired T-Tests for Non-Inferiority
  • Conditional Power of Non-Inferiority Tests for One Proportion
  • Non-Inferiority Tests for Simple Linear Regression
  • Non-Inferiority Tests for the Ratio of Two Within-Subject Variances in a Parallel Design
  • Non-Inferiority Tests for the Ratio of Two Within-Subject Variances in a 2×2M Replicated Cross-Over Design
  • Non-Inferiority Tests for the Difference of Two Within-Subject CV's in a Parallel Design
  • Non-Inferiority Tests for the Ratio of Two Variances
  • Non-Inferiority Tests for Two Between-Subject Variances in a 2×2M Replicated Cross-Over Design
  • Non-Inferiority Tests for Two Total Variances in a 2×2M Replicated Cross-Over Design
  • Non-Inferiority Tests for Two Total Variances in a Replicated Design
  • Non-Inferiority Tests for Two Total Variances in a 2×2 Cross-Over Design
  • Non-Inferiority Tests for Two Between Variances in a Replicated Design
  • One-Sample Z-Tests for Non-Inferiority
  • Wilcoxon Signed-Rank Tests for Non-Inferiority
  • Paired T-Tests for Non-Inferiority
  • Paired Z-Tests for Non-Inferiority
  • Paired Wilcoxon Signed-Rank Tests for Non-Inferiority
  • Two-Sample T-Tests for Non-Inferiority Allowing Unequal Variance
  • Two-Sample T-Tests for Non-Inferiority Assuming Equal Variance
  • Mann-Whitney U or Wilcoxon Rank-Sum Tests for Non-Inferiority

Nonparametric - 41 Scenarios

  • Spearman’s Rank Correlation Tests with Simulation
  • Kendall’s Tau-b Correlation Tests with Simulation
  • Power Comparison of Correlation Tests with Simulation
  • Tests for One Mean – (Simulation) – Wilcoxon Test
  • Tests for One Mean – (Simulation) – Sign Test
  • Tests for One Mean – (Simulation) – Bootstrap Test
  • Tests for Paired Means (Simulation) – Wilcoxon Test
  • Tests for Paired Means (Simulation) – Sign Test
  • Tests for Paired Means (Simulation) – Bootstrap Test
  • Mann-Whitney-Wilcoxon Tests (Simulation)
  • Mann-Whitney-Wilcoxon Tests (Simulation) – Unequal n’s
  • Equivalence Tests for Two Means (Simulation) – Mann-Whitney Test
  • Equivalence Tests for Two Means (Simulation) – Mann-Whitney Test – Unequal n’s
  • Group-Sequential Tests for Two Means (Simulation) General Assumptions – Mann-Whitney Test
  • Group-Sequential Tests for Two Means (Simulation) General Assumptions – Mann-Whitney Test – Unequal n’s
  • Group-Sequential Non-Inferiority Tests for Two Means – Mann-Whitney Test
  • Group-Sequential Non-Inferiority Tests for Two Means – Mann-Whitney Test – Unequal n’s
  • Power Comparison of Tests of Means in One-Way Designs (Simulation)
  • Power Comparison of Tests of Means in One-Way Designs (Simulation) – Unequal n’s
  • Kruskal-Wallis Tests (Simulation)
  • Kruskal-Wallis Tests (Simulation) – Unequal n’s
  • Terry-Hoeffding Normal-Scores Tests of Means (Simulation)
  • Terry-Hoeffding Normal-Scores Tests of Means (Simulation) – Unequal n’s
  • Van der Waerden Normal Quantiles Tests of Means (Simulation)
  • Van der Waerden Normal Quantiles Tests of Means (Simulation) – Unequal n’s
  • Pair-wise Multiple Comparisons (Simulation) – Kruskal-Wallis
  • Pair-wise Multiple Comparisons (Simulation) – Kruskal-Wallis – Unequal n’s
  • Multiple Comparisons of Treatments vs. a Control (Simulation) – Kruskal-Wallis
  • Multiple Comparisons of Treatments vs. a Control (Simulation) – Kruskal-Wallis – Unequal n’s
  • Nonparametric Reference Intervals for Non-Normal Data
  • Wilcoxon Signed-Rank Tests
  • Wilcoxon Signed-Rank Tests for Non-Inferiority
  • Wilcoxon Signed-Rank Tests for Superiority by a Margin
  • Paired Wilcoxon Signed-Rank Tests
  • Paired Wilcoxon Signed-Rank Tests for Non-Inferiority
  • Paired Wilcoxon Signed-Rank Tests for Superiority by a Margin
  • Mann-Whitney U or Wilcoxon Rank-Sum Tests
  • Mann-Whitney U or Wilcoxon Rank-Sum Tests for Non-Inferiority
  • Mann-Whitney U or Wilcoxon Rank-Sum Tests for Superiority by a Margin
  • Mann-Whitney U or Wilcoxon Rank-Sum Tests (Noether)
  • Stratified Wilcoxon-Mann-Whitney (van Elteren) Test

Non-Zero and Non-Unity Null Tests - 11 Scenarios

  • Non-Zero Null Tests for Simple Linear Regression
  • Non-Zero Null Tests for Simple Linear Regression using R-Squared
  • Non-Unity Null Tests for the Ratio of Within-Subject Variances in a Parallel Design
  • Non-Unity Null Tests for the Ratio of Within-Subject Variances in a 2×2M Replicated Cross-Over Design
  • Non-Zero Null Tests for the Difference of Two Within-Subject CV's in a Parallel Design
  • Non-Unity Null Tests for the Ratio of Two Variances
  • Non-Unity Null Tests for Two Between-Subject Variances in a 2×2M Replicated Cross-Over Design
  • Non-Unity Null Tests for Two Total Variances in a 2×2M Replicated Cross-Over Design
  • Non-Unity Null Tests for Two Total Variances in a 2×2 Cross-Over Design
  • Non-Unity Null Tests for Two Total Variances in a Replicated Design
  • Non-Unity Null Tests for Two Between Variances in a Replicated Design

Normality Tests - 9 Scenarios

  • Normality Tests (Simulation) – Anderson-Darling
  • Normality Tests (Simulation) – Kolmogorov-Smirnov
  • Normality Tests (Simulation) – Kurtosis
  • Normality Tests (Simulation) – Martinez-Iglewicz
  • Normality Tests (Simulation) – Omnibus
  • Normality Tests (Simulation) – Range
  • Normality Tests (Simulation) – Shapiro-Wilk
  • Normality Tests (Simulation) – Skewness
  • Normality Tests (Simulation) – Any Test

Pilot Studies - 5 Scenarios

  • UCL of the Standard Deviation from a Pilot Study
  • Sample Size of a Pilot Study using the Upper Confidence Limit of the SD
  • Sample Size of a Pilot Study using the Non-Central t to Allow for Uncertainty in the SD
  • Required Sample Size to Detect a Problem in a Pilot Study
  • Pilot Study Sample Size Rules of Thumb

Proportions - One - 59 Scenarios

  • Tests for One Proportion – Exact
  • Tests for One Proportion – Z-Test using S(P0)
  • Tests for One Proportion – Z-Test using S(P0) with Continuity Correction
  • Tests for One Proportion – Z-Test using S(Phat)
  • Tests for One Proportion – Z-Test using S(Phat) with Continuity Correction
  • Tests for One Proportion using Differences
  • Tests for One Proportion using Ratios
  • Tests for One Proportion using Odds Ratios
  • Tests for One Proportion using Effect Size
  • Tests for One Proportion to Demonstrate Conformance with a Reliability Standard
  • Tests for One Proportion to Demonstrate Conformance with a Reliability Standard with Fixed Adverse Events
  • Confidence Intervals for One Proportion – Exact (Clopper-Pearson)
  • Confidence Intervals for One Proportion – Score (Wilson)
  • Confidence Intervals for One Proportion – Score with Continuity Correction
  • Confidence Intervals for One Proportion – Simple Asymptotic
  • Confidence Intervals for One Proportion – Simple Asymptotic with Continuity Correction
  • Confidence Intervals for One Proportion from a Finite Population
  • Confidence Intervals for One Proportion in a Stratified Design
  • Confidence Intervals for One Proportion in a Cluster-Randomized Design
  • Confidence Intervals for One Proportion in a Stratified Cluster-Randomized Design
  • Non-Inferiority Tests for One Proportion – Exact
  • Non-Inferiority Tests for One Proportion – Z-Test using S(P0)
  • Non-Inferiority Tests for One Proportion – Z-Test using S(P0) with Continuity Correction
  • Non-Inferiority Tests for One Proportion – Z-Test using S(Phat)
  • Non-Inferiority Tests for One Proportion – Z-Test using S(Phat) with Continuity Correction
  • Non-Inferiority Tests for One Proportion using Differences
  • Non-Inferiority Tests for One Proportion using Ratios
  • Non-Inferiority Tests for One Proportion using Odds Ratios
  • Equivalence Tests for One Proportion – Exact Test
  • Equivalence Tests for One Proportion – Z Test using S(P0)
  • Equivalence Tests for One Proportion – Z Test using S(P0) with Continuity Correction
  • Equivalence Tests for One Proportion – Z Test using S(Phat)
  • Equivalence Tests for One Proportion – Z Test using S(Phat) with Continuity Correction
  • Equivalence Tests for One Proportion using Differences
  • Equivalence Tests for One Proportion using Ratios
  • Equivalence Tests for One Proportion using Odds Ratios
  • Superiority by a Margin Tests for One Proportion – Exact
  • Superiority by a Margin Tests for One Proportion – Z-Test using S(P0)
  • Superiority by a Margin Tests for One Proportion – Z-Test using S(P0) with Continuity Correction
  • Superiority by a Margin Tests for One Proportion – Z-Test using S(Phat)
  • Superiority by a Margin Tests for One Proportion – Z-Test using S(Phat) with Continuity Correction
  • Superiority by a Margin Tests for One Proportion using Differences
  • Superiority by a Margin Tests for One Proportion using Ratios
  • Superiority by a Margin Tests for One Proportion using Odds Ratios
  • Single-Stage Phase II Clinical Trials
  • Two-Stage Phase II Clinical Trials
  • Three-Stage Phase II Clinical Trials
  • Post-Marketing Surveillance – Cohort – No Background Incidence
  • Post-Marketing Surveillance – Cohort – Known Background Incidence
  • Post-Marketing Surveillance – Cohort – Unknown Background Incidence
  • Post-Marketing Surveillance – Matched Case-Control Study
  • Conditional Power of One Proportion Tests
  • Tests for One-Sample Sensitivity and Specificity
  • Confidence Intervals for One-Sample Sensitivity
  • Confidence Intervals for One-Sample Specificity
  • Confidence Intervals for One-Sample Sensitivity and Specificity
  • Group-Sequential Tests for One Proportion in a Fleming Design
  • Conditional Power of Non-Inferiority Tests for One Proportion
  • Conditional Power of Superiority by a Margin Tests for One Proportion
  • Two-Stage Designs for Tests of One Proportion (Simon)

Proportions - Two Independent - 198 Scenarios

  • Tests for Two Proportions – Fisher’s Exact Test
  • Tests for Two Proportions – Fisher’s Exact Test – Unequal n’s
  • Tests for Two Proportions – Z-Test (Pooled)
  • Tests for Two Proportions – Z-Test (Pooled) – Unequal n’s
  • Tests for Two Proportions – Z-Test (Unpooled)
  • Tests for Two Proportions – Z-Test (Unpooled) – Unequal n’s
  • Tests for Two Proportions – Z-Test (Pooled) with Continuity Correction
  • Tests for Two Proportions – Z-Test (Pooled) with Continuity Correction – Unequal n’s
  • Tests for Two Proportions – Z-Test (Unpooled) with Continuity Correction
  • Tests for Two Proportions – Z-Test (Unpooled) with Continuity Correction – Unequal n’s
  • Tests for Two Proportions – Mantel-Haenszel Test
  • Tests for Two Proportions – Mantel-Haenszel Test – Unequal n’s
  • Tests for Two Proportions – Likelihood Ratio Test
  • Tests for Two Proportions – Likelihood Ratio Test – Unequal n’s
  • Tests for Two Proportions using Differences
  • Tests for Two Proportions using Ratios
  • Tests for Two Proportions using Odds Ratios
  • Tests for Two Proportions using Effect Size
  • Tests for Two Proportions using Effect Size – Unequal n’s
  • Confidence Intervals for Two Proportions – Score (Farrington & Manning)
  • Confidence Intervals for Two Proportions – Score (Farrington & Manning) – Unequal n’s
  • Confidence Intervals for Two Proportions – Score (Miettinen & Nurminen)
  • Confidence Intervals for Two Proportions – Score (Miettinen & Nurminen) – Unequal n’s
  • Confidence Intervals for Two Proportions – Score with Skewness (Gart & Nam)
  • Confidence Intervals for Two Proportions – Score with Skewness (Gart & Nam) – Unequal n’s
  • Confidence Intervals for Two Proportions – Score (Wilson)
  • Confidence Intervals for Two Proportions – Score (Wilson) – Unequal n’s
  • Confidence Intervals for Two Proportions – Score with Continuity Correction (Wilson)
  • Confidence Intervals for Two Proportions – Score with Continuity Correction (Wilson) – Unequal n’s
  • Confidence Intervals for Two Proportions – Chi-Square with Continuity Correction (Yates)
  • Confidence Intervals for Two Proportions – Chi-Square with Continuity Correction (Yates) – Unequal n’s
  • Confidence Intervals for Two Proportions – Chi-Square (Pearson)
  • Confidence Intervals for Two Proportions – Chi-Square (Pearson) – Unequal n’s
  • Confidence Intervals for Two Proportions using Ratios – Score (Farrington & Manning)
  • Confidence Intervals for Two Proportions using Ratios – Score (Farrington & Manning) – Unequal n’s
  • Confidence Intervals for Two Proportions using Ratios – Score (Miettinen & Nurminen)
  • Confidence Intervals for Two Proportions using Ratios – Score (Miettinen & Nurminen) – Unequal n’s
  • Confidence Intervals for Two Proportions using Ratios – Score with Skewness (Gart & Nam)
  • Confidence Intervals for Two Proportions using Ratios – Score with Skewness (Gart & Nam) – Unequal n’s
  • Confidence Intervals for Two Proportions using Ratios – Logarithm (Katz)
  • Confidence Intervals for Two Proportions using Ratios – Logarithm (Katz) – Unequal n’s
  • Confidence Intervals for Two Proportions using Ratios – Logarithm + ½ (Walter)
  • Confidence Intervals for Two Proportions using Ratios – Logarithm + ½ (Walter) – Unequal n’s
  • Confidence Intervals for Two Proportions using Ratios – Fleiss
  • Confidence Intervals for Two Proportions using Ratios – Fleiss – Unequal n’s
  • Confidence Intervals for Two Proportions using Odds Ratios – Exact (Conditional)
  • Confidence Intervals for Two Proportions using Odds Ratios – Exact (Conditional) – Unequal n’s
  • Confidence Intervals for Two Proportions using Odds Ratios – Score (Farrington & Manning)
  • Confidence Intervals for Two Proportions using Odds Ratios – Score (Farrington & Manning) – Unequal n’s
  • Confidence Intervals for Two Proportions using Odds Ratios – Score (Miettinen & Nurminen)
  • Confidence Intervals for Two Proportions using Odds Ratios – Score (Miettinen & Nurminen) – Unequal n’s
  • Confidence Intervals for Two Proportions using Odds Ratios – Fleiss
  • Confidence Intervals for Two Proportions using Odds Ratios – Fleiss – Unequal n’s
  • Confidence Intervals for Two Proportions using Odds Ratios – Logarithm
  • Confidence Intervals for Two Proportions using Odds Ratios – Logarithm – Unequal n’s
  • Confidence Intervals for Two Proportions using Odds Ratios – Mantel-Haenszel
  • Confidence Intervals for Two Proportions using Odds Ratios – Mantel-Haenszel – Unequal n’s
  • Confidence Intervals for Two Proportions using Odds Ratios – Simple
  • Confidence Intervals for Two Proportions using Odds Ratios – Simple – Unequal n’s
  • Confidence Intervals for Two Proportions using Odds Ratios – Simple + 1/2
  • Confidence Intervals for Two Proportions using Odds Ratios – Simple + 1/2 – Unequal n’s
  • Non-Inferiority Tests for Two Proportions – Z-Test (Pooled)
  • Non-Inferiority Tests for Two Proportions – Z-Test (Pooled) – Unequal n’s
  • Non-Inferiority Tests for Two Proportions – Z-Test (Unpooled)
  • Non-Inferiority Tests for Two Proportions – Z-Test (Unpooled) – Unequal n’s
  • Non-Inferiority Tests for Two Proportions – Z-Test (Pooled) with Continuity Correction
  • Non-Inferiority Tests for Two Proportions – Z-Test (Pooled) with Continuity Correction – Unequal n’s
  • Non-Inferiority Tests for Two Proportions – Z-Test (Unpooled) with Continuity Correction
  • Non-Inferiority Tests for Two Proportions – Z-Test (Unpooled) with Continuity Correction – Unequal n’s
  • Non-Inferiority Tests for Two Proportions – Likelihood Score (Farrington & Manning)
  • Non-Inferiority Tests for Two Proportions – Likelihood Score (Farrington & Manning) – Unequal n’s
  • Non-Inferiority Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen)
  • Non-Inferiority Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
  • Non-Inferiority Tests for Two Proportions – Likelihood Score (Gart & Nam)
  • Non-Inferiority Tests for Two Proportions – Likelihood Score (Gart & Nam) – Unequal n’s
  • Non-Inferiority Tests for Two Proportions using Differences
  • Non-Inferiority Tests for Two Proportions using Ratios
  • Non-Inferiority Tests for Two Proportions using Odds Ratios
  • Equivalence Tests for Two Proportions – Z Test (Pooled)
  • Equivalence Tests for Two Proportions – Z Test (Pooled) – Unequal n’s
  • Equivalence Tests for Two Proportions – Z Test (Unpooled)
  • Equivalence Tests for Two Proportions – Z Test (Unpooled) – Unequal n’s
  • Equivalence Tests for Two Proportions – Z Test (Pooled) with Continuity Correction
  • Equivalence Tests for Two Proportions – Z Test (Pooled) with Continuity Correction – Unequal n’s
  • Equivalence Tests for Two Proportions – Z Test (Unpooled) with Continuity Correction
  • Equivalence Tests for Two Proportions – Z Test (Unpooled) with Continuity Correction – Unequal n’s
  • Equivalence Tests for Two Proportions – Likelihood Score (Farrington & Manning)
  • Equivalence Tests for Two Proportions – Likelihood Score (Farrington & Manning) – Unequal n’s
  • Equivalence Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen)
  • Equivalence Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
  • Equivalence Tests for Two Proportions – Likelihood Score (Gart & Nam)
  • Equivalence Tests for Two Proportions – Likelihood Score (Gart & Nam) – Unequal n’s
  • Equivalence Tests for Two Proportions using Differences
  • Equivalence Tests for Two Proportions using Ratios
  • Equivalence Tests for Two Proportions using Odds Ratios
  • Superiority by a Margin Tests for Two Proportions – Z-Test (Pooled)
  • Superiority by a Margin Tests for Two Proportions – Z-Test (Pooled) – Unequal n’s
  • Superiority by a Margin Tests for Two Proportions – Z-Test (Unpooled)
  • Superiority by a Margin Tests for Two Proportions – Z-Test (Unpooled) – Unequal n’s
  • Superiority by a Margin Tests for Two Proportions – Z-Test (Pooled) with Continuity Correction
  • Superiority by a Margin Tests for Two Proportions – Z-Test (Pooled) with Continuity Correction – Unequal n’s
  • Superiority by a Margin Tests for Two Proportions – Z-Test (Unpooled) with Continuity Correction
  • Superiority by a Margin Tests for Two Proportions – Z-Test (Unpooled) with Continuity Correction – Unequal n’s
  • Superiority by a Margin Tests for Two Proportions – Likelihood Score (Farrington & Manning)
  • Superiority by a Margin Tests for Two Proportions – Likelihood Score (Farrington & Manning) – Unequal n’s
  • Superiority by a Margin Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen)
  • Superiority by a Margin Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
  • Superiority by a Margin Tests for Two Proportions – Likelihood Score (Gart & Nam)
  • Superiority by a Margin Tests for Two Proportions – Likelihood Score (Gart & Nam) – Unequal n’s
  • Superiority by a Margin Tests for Two Proportions using Differences
  • Superiority by a Margin Tests for Two Proportions using Ratios
  • Superiority by a Margin Tests for Two Proportions using Odds Ratios
  • Tests for Two Proportions in a Repeated Measures Design using Odds Ratios – Difference
  • Tests for Two Proportions in a Repeated Measures Design using Odds Ratios – Difference – Unequal n’s
  • Tests for Two Proportions in a Repeated Measures Design using Odds Ratios – Log(OR)
  • Tests for Two Proportions in a Repeated Measures Design using Odds Ratios – Log(OR) – Unequal n’s
  • Tests for Two Proportions in a Repeated Measures Design using Proportions
  • Group-Sequential Tests for Two Proportions
  • Group-Sequential Tests for Two Proportions – Unequal n’s
  • Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Pooled)
  • Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Pooled) – Unequal n’s
  • Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Unpooled)
  • Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Unpooled) – Unequal n’s
  • Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction
  • Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction – Unequal n’s
  • Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction
  • Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction – Unequal n’s
  • Group-Sequential Tests for Two Proportions (Simulation) – Mantel-Haenszel
  • Group-Sequential Tests for Two Proportions (Simulation) – Mantel-Haenszel – Unequal n’s
  • Group-Sequential Tests for Two Proportions (Simulation) – Fisher’s Exact
  • Group-Sequential Tests for Two Proportions (Simulation) – Fisher’s Exact – Unequal n’s
  • Group-Sequential Tests for Two Proportions using Differences (Simulation)
  • Group-Sequential Tests for Two Proportions using Ratios (Simulation)
  • Group-Sequential Tests for Two Proportions using Odds Ratios (Simulation)
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Pooled)
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Pooled) – Unequal n’s
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Unpooled)
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Unpooled) – Unequal n’s
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction – Unequal n’s
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction – Unequal n’s
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning)
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning) – Unequal n’s
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen)
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam)
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam) – Unequal n’s
  • Group-Sequential Non-Inferiority Tests for Two Proportions using Differences (Simulation)
  • Group-Sequential Non-Inferiority Tests for Two Proportions using Ratios (Simulation)
  • Group-Sequential Non-Inferiority Tests for Two Proportions using Odds Ratios (Simulation)
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled)
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled) – Unequal n’s
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled)
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled) – Unequal n’s
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction – Unequal n’s
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction – Unequal n’s
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning)
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning) – Unequal n’s
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen)
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam)
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam) – Unequal n’s
  • Group-Sequential Superiority by a Margin Tests for Two Proportions using Differences (Simulation)
  • Group-Sequential Superiority by a Margin Tests for Two Proportions using Ratios (Simulation)
  • Group-Sequential Superiority by a Margin Tests for Two Proportions using Odds Ratios (Simulation)
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation)
  • Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Unequal n’s
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation)
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Unequal n’s
  • Conditional Power of Two-Proportions Tests
  • Conditional Power of Two-Proportions Tests – Unequal n’s
  • Tests for Two Proportions in a Stratified Design (Cochran/Mantel-Haenzel Test)
  • Tests for Two Proportions in a Stratified Design (Cochran/Mantel-Haenzel Test) – Unequal n’s
  • Tests for Two Proportions in a Repeated Measures Design
  • Tests for Two Proportions in a Repeated Measures Design – Unequal n’s
  • Tests for Two Proportions in a Repeated Measures Design using Odds Ratios
  • Tests for Two Proportions in a Stepped-Wedge Cluster-Randomized Design - Complete Design
  • Tests for Two Proportions in a Stepped-Wedge Cluster-Randomized Design - Incomplete Design (Custom)
  • Mixed Models Tests for Two Proportions in a 2-Level Hierarchical Design (Level-2 Randomization)
  • Mixed Models Tests for Two Proportions in a 2-Level Hierarchical Design (Level-1 Randomization)
  • Mixed Models Tests for Two Proportions in a 3-Level Hierarchical Design (Level-3 Randomization)
  • Mixed Models Tests for Two Proportions in a 3-Level Hierarchical Design (Level-2 Randomization)
  • Mixed Models Tests for Two Proportions in a 3-Level Hierarchical Design (Level-1 Randomization)
  • Group-Sequential Tests for Two Proportions (Simulation)
  • Conditional Power of Non-Inferiority Tests for the Difference Between Two Proportions
  • Conditional Power of Superiority by a Margin Tests for the Difference Between Two Proportions
  • Superiority by a Margin Tests for the Difference Between Two Proportions
  • Superiority by a Margin Tests for the Ratio of Two Proportions
  • Superiority by a Margin Tests for the Odds Ratio of Two Proportions
  • Superiority by a Margin Tests for the Difference of Two Proportions in a Cluster-Randomized Design
  • Superiority by a Margin Tests for the Ratio of Two Proportions in a Cluster-Randomized Design
  • Tests for Two Proportions in a Split-Mouth Design
  • Tests for Two Proportions in a Stratified Cluster-Randomized Design (Cochran-Mantel-Haenszel Test)

Proportions - Correlated or Paired - 14 Scenarios

  • Tests for Two Correlated Proportions (McNemar's Test)
  • Tests for Two Correlated Proportions (McNemar's Test) using Odds Ratios
  • Tests for Two Correlated Proportions in a Matched Case-Control Design
  • Tests for the Odds Ratio in a Matched Case-Control Design with a Binary Covariate using Conditional Logistic Regression
  • Tests for the Odds Ratio in a Matched Case-Control Design with a Quantitative X using Conditional Logistic Regression
  • Tests for the Matched-Pair Difference of Two Proportions in a Cluster-Randomized Design
  • Non-Inferiority Tests for Two Correlated Proportions
  • Non-Inferiority Tests for Two Correlated Proportions using Ratios
  • Equivalence Tests for Two Correlated Proportions
  • Equivalence Tests for Two Correlated Proportions using Ratios
  • GEE Tests for the Slope of Two Groups in a Repeated Measures Design (Binary Outcome)
  • GEE Tests for the TAD of Two Groups in a Repeated Measures Design (Binary Outcome)
  • GEE Tests for Two Correlated Proportions with Dropout
  • Tests for Two Correlated Proportions with Incomplete Observations

Proportions - Cross-Over Designs - 12 Scenarios

  • Tests for the Odds Ratio of Two Proportions in a 2x2 Cross-Over Design
  • Non-Inferiority Tests for the Odds Ratio of Two Proportions in a 2x2 Cross-Over Design
  • Superiority by a Margin Tests for the Odds Ratio of Two Proportions in a 2x2 Cross-Over Design
  • Equivalence Tests for the Odds Ratio of Two Proportions in a 2x2 Cross-Over Design
  • Tests for the Difference of Two Proportions in a 2x2 Cross-Over Design
  • Non-Inferiority Tests for the Difference of Two Proportions in a 2x2 Cross-Over Design
  • Superiority by a Margin Tests for the Difference of Two Proportions in a 2x2 Cross-Over Design
  • Equivalence Tests for the Difference of Two Proportions in a 2x2 Cross-Over Design
  • Tests for Pairwise Proportion Differences in a Williams Cross-Over Design
  • Non-Inferiority Tests for Pairwise Proportion Differences in a Williams Cross-Over Design
  • Superiority by a Margin Tests for Pairwise Proportion Differences in a Williams Cross-Over Design
  • Equivalence Tests for Pairwise Proportion Differences in a Williams Cross-Over Design

Proportions - Many - 13 Scenarios

  • Chi-Square Contingency Table Test
  • Chi-Square Multinomial Test
  • Cochran-Armitage Test for Trend in Proportions
  • Cochran-Armitage Test for Trend in Proportions – Unequal n’s
  • Multiple Comparisons of Proportions vs. Control
  • Multiple Comparisons of Proportions vs. Control – Unequal n’s
  • Logistic Regression
  • Tests for Two Ordered Categorical Variables
  • Tests for Two Ordered Categorical Variables – Unequal n’s
  • GEE Tests for the TAD of Multiple Groups in a Repeated Measures Design (Binary Outcome)
  • Tests for Multiple Correlated Proportions
  • GEE Tests for Multiple Proportions in a Cluster-Randomized Design
  • Tests for Multiple Proportions in a One-Way Design

Quality Control - 16 Scenarios

  • Acceptance Sampling for Attributes
  • Operating Characteristic Curves for Acceptance Sampling for Attributes
  • Acceptance Sampling for Attributes with Zero Nonconformities
  • Acceptance Sampling for Attributes with Fixed Nonconformities
  • Quality Control Charts for Means – Shewhart (Xbar) (Simulation)
  • Quality Control Charts for Means – CUSUM (Simulation)
  • Quality Control Charts for Means – CUSUM + Shewhart (Simulation)
  • Quality Control Charts for Means – FIR CUSUM (Simulation)
  • Quality Control Charts for Means – FIR CUSUM + Shewhart (Simulation)
  • Quality Control Charts for Means – EWMA (Simulation)
  • Quality Control Charts for Means – EWMA + Shewhart (Simulation)
  • Quality Control Charts for Variability – R (Simulation)
  • Quality Control Charts for Variability – S (Simulation)
  • Quality Control Charts for Variability – S with Probability Limits (Simulation)
  • Confidence Intervals for Cp
  • Confidence Intervals for Cpk

Rates and Counts - 37 Scenarios

  • Tests for the Difference Between Two Poisson Rates
  • Tests for the Difference Between Two Poisson Rates in a Cluster-Randomized Design
  • Tests for the Matched-Pair Difference of Two Event Rates in a Cluster-Randomized Design
  • Tests for the Ratio of Two Poisson Rates (Zhu)
  • Tests for the Ratio of Two Negative Binomial Rates
  • Poisson Means (Incidence Rates)
  • Post-Marketing Surveillance (Incidence Rates)
  • Tests for Two Poisson Rates in a Stepped-Wedge Cluster-Randomized Design - Complete Design
  • Tests for Two Poisson Rates in a Stepped-Wedge Cluster-Randomized Design - Incomplete Design (Custom)
  • Poisson Regression
  • Equivalence Tests for the Ratio of Two Poisson Rates
  • Equivalence Tests for the Ratio of Two Poisson Rates – Unequal n’s
  • Equivalence Tests for the Ratio of Two Negative Binomial Rates
  • Equivalence Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s
  • Non-Inferiority Tests for the Ratio of Two Poisson Rates
  • Non-Inferiority Tests for the Ratio of Two Poisson Rates – Unequal n’s
  • Non-Inferiority Tests for the Ratio of Two Negative Binomial Rates
  • Non-Inferiority Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s
  • Superiority by a Margin Tests for the Ratio of Two Poisson Rates
  • Superiority by a Margin Tests for the Ratio of Two Poisson Rates – Unequal n’s
  • Superiority by a Margin Tests for the Ratio of Two Negative Binomial Rates
  • Superiority by a Margin Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s
  • GEE Tests for the Slope of Two Groups in a Repeated Measures Design (Count Outcome)
  • GEE GEE Tests for the Slope of Multiple Groups in a Repeated Measures Design (Count Outcome)
  • GEE Tests for the TAD of Two Groups in a Repeated Measures Design (Count Outcome)
  • GEE Tests for the TAD of Multiple Groups in a Repeated Measures Design (Count Outcome)
  • Tests for the Ratio of Two Poisson Rates in a 2x2 Cross-Over Design
  • Non-Inferiority Tests for the Ratio of Two Poisson Rates in a 2x2 Cross-Over Design
  • Superiority by a Margin Tests for the Ratio of Two Poisson Rates in a 2x2 Cross-Over Design
  • Equivalence Tests for the Ratio of Two Poisson Rates in a 2x2 Cross-Over Design
  • Tests of Mediation Effect in Poisson Regression
  • GEE Tests for Multiple Poisson Rates in a Cluster-Randomized Design
  • Tests for One Poisson Rate with No Background Incidence (Post-Marketing Surveillance)
  • Tests for One Poisson Rate with Known Background Incidence (Post-Marketing Surveillance)
  • Tests for Two Poisson Rates with Background Incidence Estimated by the Control (Post-Marketing Surveillance)
  • Tests for Two Poisson Rates in a Matched Case-Control Design (Post-Marketing Surveillance)
  • Tests for the Difference Between Two Poisson Rates in a Cluster-Randomized Design with Adjustment for Varying Cluster Sizes
  • Tests for Multiple Poisson Rates in a One-Way Design

Reference Intervals - 2 Scenarios

  • Reference Intervals for Normal Data
  • Nonparametric Reference Intervals for Non-Normal Data

Regression - 41 Scenarios

  • Linear Regression
  • Confidence Intervals for Linear Regression Slope
  • Tests for the Difference Between Two Linear Regression Slopes
  • Tests for the Difference Between Two Linear Regression Intercepts
  • Cox Regression
  • Logistic Regression
  • Logistic Regression with One Binary Covariate using the Wald Test
  • Logistic Regression with Two Binary Covariates using the Wald Test
  • Logistic Regression with Two Binary Covariates and an Interaction using the Wald Test
  • Confidence Intervals for the Odds Ratio in a Logistic Regression with Two Binary Covariates
  • Confidence Intervals for the Interaction Odds Ratio in a Logistic Regression with Two Binary Covariates
  • Tests for the Odds Ratio in a Matched Case-Control Design with a Binary X using Conditional Logistic Regression
  • Tests for the Odds Ratio in a Matched Case-Control Design with a Quantitative X using Conditional Logistic Regression
  • Multiple Regression
  • Multiple Regression using Effect Size
  • Poisson Regression
  • Probit Analysis - Probit
  • Probit Analysis – Logit
  • Confidence Intervals for Michaelis-Menten Parameters
  • Confidence Intervals for Michaelis-Menten Parameters – Unequal n’s
  • Reference Intervals for Clinical and Lab Medicine
  • Mendelian Randomization with a Binary Outcome
  • Mendelian Randomization with a Continuous Outcome
  • Tests for the Odds Ratio in a Matched Case-Control Design with a Binary Covariate using Conditional Logistic Regression
  • Tests for the Odds Ratio in a Matched Case-Control Design with a Quantitative X using Conditional Logistic Regression
  • Tests for the Odds Ratio in Logistic Regression with One Normal X (Wald Test)
  • Tests for the Odds Ratio in Logistic Regression with One Normal X and Other Xs (Wald Test)
  • Tests for the Odds Ratio in Logistic Regression with One Binary X and Other Xs (Wald Test)
  • Tests of Mediation Effect using the Sobel Test
  • Tests of Mediation Effect in Linear Regression
  • Tests of Mediation Effect in Logistic Regression
  • Tests of Mediation Effect in Poisson Regression
  • Tests of Mediation Effect in Cox Regression
  • Joint Tests of Mediation in Linear Regression with Continuous Variables
  • Simple Linear Regression
  • Non-Zero Null Tests for Simple Linear Regression
  • Non-Inferiority Tests for Simple Linear Regression
  • Superiority by a Margin Tests for Simple Linear Regression
  • Equivalence Tests for Simple Linear Regression
  • Simple Linear Regression using R-Squared
  • Non-Zero Null Tests for Simple Linear Regression using R-Squared

ROC Curves - 10 Scenarios

  • Tests for One ROC Curve – Discrete Data
  • Tests for One ROC Curve – Continuous Data
  • Tests for One ROC Curve – Continuous Data – Unequal n’s
  • Tests for Two ROC Curves – Discrete Data
  • Tests for Two ROC Curves – Discrete Data – Unequal n’s
  • Tests for Two ROC Curves – Continuous Data
  • Tests for Two ROC Curves – Continuous Data – Unequal n’s
  • Confidence Intervals for the Area Under an ROC Curve
  • Confidence Intervals for the Area Under an ROC Curve – Unequal n’s
 

Sensitivity and Specificity - 19 Scenarios

  • Tests for One-Sample Sensitivity and Specificity
  • Tests for Paired Sensitivities
  • Tests for Two Independent Sensitivities – Fisher’s Exact Test
  • Tests for Two Independent Sensitivities – Fisher’s Exact Test – Unequal n’s
  • Tests for Two Independent Sensitivities – Z-Test (Pooled)
  • Tests for Two Independent Sensitivities – Z-Test (Pooled) – Unequal n’s
  • Tests for Two Independent Sensitivities – Z-Test (Unpooled)
  • Tests for Two Independent Sensitivities – Z-Test (Unpooled) – Unequal n’s
  • Tests for Two Independent Sensitivities – Z-Test (Pooled) with Continuity Correction
  • Tests for Two Independent Sensitivities – Z-Test (Pooled) with Continuity Correction – Unequal n’s
  • Tests for Two Independent Sensitivities – Z-Test (Unpooled) with Continuity Correction
  • Tests for Two Independent Sensitivities – Z-Test (Unpooled) with Continuity Correction – Unequal n’s
  • Tests for Two Independent Sensitivities – Mantel-Haenszel Test
  • Tests for Two Independent Sensitivities – Mantel-Haenszel Test – Unequal n’s
  • Tests for Two Independent Sensitivities – Likelihood Ratio Test
  • Tests for Two Independent Sensitivities – Likelihood Ratio Test – Unequal n’s
  • Confidence Intervals for One-Sample Sensitivity
  • Confidence Intervals for One-Sample Specificity
  • Confidence Intervals for One-Sample Sensitivity and Specificity

Superiority by a Margin Tests - 120 Scenarios

  • Superiority by a Margin Tests for One Mean
  • Superiority by a Margin Tests for Paired Means
  • Superiority by a Margin Tests for Two Means using Differences
  • Superiority by a Margin Tests for Two Means using Differences – Unequal n’s
  • Superiority by a Margin Tests for Two Means using Ratios
  • Superiority by a Margin Tests for Two Means using Ratios – Unequal n’s
  • Superiority by a Margin Tests for the Ratio of Two Poisson Rates
  • Superiority by a Margin Tests for the Ratio of Two Poisson Rates – Unequal n’s
  • Superiority by a Margin Tests for the Ratio of Two Negative Binomial Rates
  • Superiority by a Margin Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s
  • Superiority by a Margin Tests for Two Means in a 2x2 Cross-Over Design using Differences
  • Superiority by a Margin Tests for Two Means in a 2x2 Cross-Over Design using Ratios
  • Superiority by a Margin Tests for Two Means in a Higher-Order Cross-Over Design using Differences
  • Superiority by a Margin Tests for Two Means in a Higher-Order Cross-Over Design using Ratios
  • Superiority by a Margin Tests for Two Means in a Cluster-Randomized Design
  • Superiority by a Margin Tests for One Proportion – Exact
  • Superiority by a Margin Tests for One Proportion – Z-Test using S(P0)
  • Superiority by a Margin Tests for One Proportion – Z-Test using S(P0) with Continuity Correction
  • Superiority by a Margin Tests for One Proportion – Z-Test using S(Phat)
  • Superiority by a Margin Tests for One Proportion – Z-Test using S(Phat) with Continuity Correction
  • Superiority by a Margin Tests for One Proportion using Differences
  • Superiority by a Margin Tests for One Proportion using Ratios
  • Superiority by a Margin Tests for One Proportion using Odds Ratios
  • Superiority by a Margin Tests for Two Proportions – Z-Test (Pooled)
  • Superiority by a Margin Tests for Two Proportions – Z-Test (Pooled) – Unequal n’s
  • Superiority by a Margin Tests for Two Proportions – Z-Test (Unpooled)
  • Superiority by a Margin Tests for Two Proportions – Z-Test (Unpooled) – Unequal n’s
  • Superiority by a Margin Tests for Two Proportions – Z-Test (Pooled) with Continuity Correction
  • Superiority by a Margin Tests for Two Proportions – Z-Test (Pooled) with Continuity Correction – Unequal n’s
  • Superiority by a Margin Tests for Two Proportions – Z-Test (Unpooled) with Continuity Correction
  • Superiority by a Margin Tests for Two Proportions – Z-Test (Unpooled) with Continuity Correction – Unequal n’s
  • Superiority by a Margin Tests for Two Proportions – Likelihood Score (Farrington & Manning)
  • Superiority by a Margin Tests for Two Proportions – Likelihood Score (Farrington & Manning) – Unequal n’s
  • Superiority by a Margin Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen)
  • Superiority by a Margin Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
  • Superiority by a Margin Tests for Two Proportions – Likelihood Score (Gart & Nam)
  • Superiority by a Margin Tests for Two Proportions – Likelihood Score (Gart & Nam) – Unequal n’s
  • Superiority Test of Two Proportions from a Cluster-Randomized Design – Z Test (Pooled)
  • Superiority Test of Two Proportions from a Cluster-Randomized Design – Z Test (Pooled) – Unequal n’s
  • Superiority Test of Two Proportions from a Cluster-Randomized Design – Z Test (Unpooled)
  • Superiority Test of Two Proportions from a Cluster-Randomized Design – Z Test (Unpooled) – Unequal n’s
  • Superiority Test of Two Proportions from a Cluster-Randomized Design – Likelihood Score Test
  • Superiority Test of Two Proportions from a Cluster-Randomized Design – Likelihood Score Test – Unequal n’s
  • Superiority by a Margin Tests for Two Proportions using Differences
  • Superiority by a Margin Tests for Two Proportions using Ratios
  • Superiority by a Margin Tests for Two Proportions using Odds Ratios
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled)
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled) – Unequal n’s
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled)
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled) – Unequal n’s
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction – Unequal n’s
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction – Unequal n’s
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning)
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning) – Unequal n’s
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen)
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam)
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam) – Unequal n’s
  • Group-Sequential Superiority by a Margin Tests for Two Proportions using Differences (Simulation)
  • Group-Sequential Superiority by a Margin Tests for Two Proportions using Ratios (Simulation)
  • Group-Sequential Superiority by a Margin Tests for Two Proportions using Odds Ratios (Simulation)
  • Group-Sequential Superiority by a Margin Tests for Two Hazard Rates (Simulation)
  • Group-Sequential Superiority by a Margin Tests for Two Hazard Rates (Simulation) – Unequal n’s
  • Group-Sequential Superiority by a Margin Tests for Two Means with Known Variances (Simulation)
  • Group-Sequential Superiority by a Margin Tests for Two Means with Known Variances (Simulation) – Unequal n’s
  • Group-Sequential Superiority by a Margin T-Tests for Two Means (Simulation)
  • Group-Sequential Superiority by a Margin T-Tests for Two Means (Simulation) – Unequal n’s
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation)
  • Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Unequal n’s
  • Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design – Z Test (Pooled)
  • Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design – Z Test (Pooled) – Unequal n’s
  • Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design – Z Test (Unpooled)
  • Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design – Z Test (Unpooled) – Unequal n’s
  • Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design – Z Test (Pooled)
  • Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design – Z Test (Pooled) – Unequal n’s
  • Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design using Proportions
  • Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design using Differences
  • Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design using Ratios
  • Superiority by a Margin Tests for Two Survival Curves Using Cox’s Proportional Hazards Model
  • Superiority by a Margin Tests for Two Survival Curves Using Cox’s Proportional Hazards Model – Unequal n’s
  • Superiority by a Margin Tests for the Difference of Two Hazard Rates Assuming an Exponential Model
  • Superiority by a Margin Tests for the Difference of Two Hazard Rates Assuming an Exponential Model – Unequal n’s
  • Superiority by a Margin Tests for the Odds Ratio of Two Proportions in a 2x2 Cross-Over Design
  • Superiority by a Margin Tests for the Difference of Two Proportions in a 2x2 Cross-Over Design
  • Superiority by a Margin Tests for the Ratio of Two Poisson Rates in a 2x2 Cross-Over Design
  • Superiority by a Margin Tests for the Gen. Odds Ratio for Ordinal Data in a 2x2 Cross-Over Design
  • Superiority by a Margin Tests for Pairwise Proportion Differences in a Williams Cross-Over Design
  • Superiority by a Margin Tests for Pairwise Mean Differences in a Williams Cross-Over Design
  • Conditional Power of Two-Sample T-Tests for Superiority by a Margin
  • Conditional Power of Superiority by a Margin Tests for the Difference Between Two Proportions
  • Conditional Power of Superiority by a Margin Logrank Tests
  • Conditional Power of Superiority by a Margin Tests for Two Means in a 2x2 Cross-Over Design
  • Conditional Power of One-Sample T-Tests for Superiority by a Margin
  • Conditional Power of Paired T-Tests for Superiority by a Margin
  • Conditional Power of Superiority by a Margin Tests for One Proportion
  • Superiority by a Margin Tests for the Difference Between Two Proportions
  • Superiority by a Margin Tests for the Ratio of Two Proportions
  • Superiority by a Margin Tests for the Odds Ratio of Two Proportions
  • Superiority by a Margin Tests for the Difference of Two Proportions in a Cluster-Randomized Design
  • Superiority by a Margin Tests for the Ratio of Two Proportions in a Cluster-Randomized Design
  • Superiority by a Margin Tests for Simple Linear Regression
  • Superiority by a Margin Tests for the Ratio of Two Within-Subject Variances in a Parallel Design
  • Superiority by a Margin Tests for the Ratio of Two Within-Subject Variances in a 2×2M Replicated Cross-Over Design
  • Superiority by a Margin Tests for the Difference of Two Within-Subject CV's in a Parallel Design
  • Superiority by a Margin Tests for the Ratio of Two Variances
  • Superiority by a Margin Tests for Two Between-Subject Variances in a 2×2M Replicated Cross-Over Design
  • Superiority by a Margin Tests for Two Total Variances in a 2×2M Replicated Cross-Over Design
  • Superiority by a Margin Tests for Two Total Variances in a Replicated Design
  • Superiority by a Margin Tests for Two Total Variances in a 2×2 Cross-Over Design
  • Superiority by a Margin Tests for Two Between Variances in a Replicated Design
  • One-Sample Z-Tests for Superiority by a Margin
  • Wilcoxon Signed-Rank Tests for Superiority by a Margin
  • Paired T-Tests for Superiority by a Margin
  • Paired Z-Tests for Superiority by a Margin
  • Paired Wilcoxon Signed-Rank Tests for Superiority by a Margin
  • Two-Sample T-Tests for Superiority by a Margin Assuming Equal Variance
  • Two-Sample T-Tests for Superiority by a Margin Allowing Unequal Variance
  • Mann-Whitney U or Wilcoxon Rank-Sum Tests for Superiority by a Margin

Survival Analysis - 83 Scenarios

  • One-Sample Logrank Tests
  • One-Sample Cure Model Tests
  • Logrank Tests (Input Hazard Rates)
  • Logrank Tests (Input Median Survival Times)
  • Logrank Tests (Input Proportion Surviving)
  • Logrank Tests (Input Mortality)
  • Logrank Tests for Two Survival Curves Using Cox’s Proportional Hazards Model
  • Logrank Tests – Unequal n’s
  • Two-Group Survival Comparison Tests (Simulation) – Logrank
  • Two-Group Survival Comparison Tests (Simulation) – Logrank – Unequal n’s
  • Two-Group Survival Comparison Tests (Simulation) – Gehan-Wilcoxon
  • Two-Group Survival Comparison Tests (Simulation) – Gehan-Wilcoxon – Unequal n’s
  • Two-Group Survival Comparison Tests (Simulation) – Tarone-Ware
  • Two-Group Survival Comparison Tests (Simulation) – Tarone-Ware – Unequal n’s
  • Two-Group Survival Comparison Tests (Simulation) – Peto-Peto
  • Two-Group Survival Comparison Tests (Simulation) – Peto-Peto – Unequal n’s
  • Two-Group Survival Comparison Tests (Simulation) – Modified Peto-Peto
  • Two-Group Survival Comparison Tests (Simulation) – Modified Peto-Peto – Unequal n’s
  • Two-Group Survival Comparison Tests (Simulation) – Fleming-Harrington Custom Parameters
  • Two-Group Survival Comparison Tests (Simulation) – Fleming-Harrington Custom Parameters – Unequal n’s
  • Logrank Tests in a Cluster-Randomized Design
  • Tests for Two Survival Curves using Cox’s Proportional Hazards Model
  • Tests for Two Survival Curves using Cox’s Proportional Hazards Model – Unequal n’s
  • Tests for the Difference of Two Hazard Rates Assuming an Exponential Model
  • Tests for the Difference of Two Hazard Rates Assuming an Exponential Model – Unequal n’s
  • Logrank Tests Accounting for Competing Risks
  • Logrank Tests Accounting for Competing Risks – Unequal n’s
  • Non-Inferiority Logrank Tests
  • Non-Inferiority Logrank Tests – Unequal n’s
  • Non-Inferiority Tests for Two Survival Curves using Cox’s Proportional Hazards Model
  • Non-Inferiority Tests for Two Survival Curves using Cox’s Proportional Hazards Model – Unequal n’s
  • Non-Inferiority Tests for Difference of Two Hazard Rates Assuming an Exponential Model
  • Non-Inferiority Tests for Difference of Two Hazard Rates Assuming an Exponential Model – Unequal n’s
  • Equivalence Tests for Two Survival Curves using Cox’s Proportional Hazards Model
  • Equivalence Tests for Two Survival Curves using Cox’s Proportional Hazards Model – Unequal n’s
  • Equivalence Tests for Difference of Two Hazard Rates Assuming an Exponential Model
  • Equivalence Tests for Difference of Two Hazard Rates Assuming an Exponential Model – Unequal n’s
  • Superiority by a Margin Tests for Two Survival Curves using Cox’s Proportional Hazards Model
  • Superiority by a Margin Tests for Two Survival Curves using Cox’s Proportional Hazards Model – Unequal n’s
  • Superiority by a Margin Tests for Difference of Two Hazard Rates Assuming an Exponential Model
  • Superiority by a Margin Tests for Difference of Two Hazard Rates Assuming an Exponential Model – Unequal n’s
  • Group-Sequential Logrank Tests of Two Survival Curves assuming Exponential Survival
  • Group-Sequential Logrank Tests of Two Survival Curves assuming Proportional Hazards
  • Group-Sequential Logrank Tests using Hazard Rates (Simulation)
  • Group-Sequential Logrank Tests using Median Survival Times (Simulation)
  • Group-Sequential Logrank Tests using Proportion Surviving (Simulation)
  • Group-Sequential Logrank Tests using Mortality (Simulation)
  • Group-Sequential Logrank Tests (Simulation) – Unequal n’s
  • Group-Sequential Logrank Tests (Simulation) – Gehan-Wilcoxon
  • Group-Sequential Logrank Tests (Simulation) – Gehan-Wilcoxon – Unequal n’s
  • Group-Sequential Logrank Tests (Simulation) – Tarone-Ware
  • Group-Sequential Logrank Tests (Simulation) – Tarone-Ware – Unequal n’s
  • Group-Sequential Logrank Tests (Simulation) – Peto-Peto
  • Group-Sequential Logrank Tests (Simulation) – Peto-Peto – Unequal n’s
  • Group-Sequential Logrank Tests (Simulation) – Modified Peto-Peto
  • Group-Sequential Logrank Tests (Simulation) – Modified Peto-Peto – Unequal n’s
  • Group-Sequential Logrank Tests (Simulation) – Fleming-Harrington Custom Parameters
  • Group-Sequential Logrank Tests (Simulation) – Fleming-Harrington Custom Parameters – Unequal n’s
  • Group-Sequential Tests for Two Hazard Rates (Simulation)
  • Group-Sequential Tests for Two Hazard Rates (Simulation) – Unequal n’s
  • Group-Sequential Non-Inferiority Tests for Two Hazard Rates (Simulation)
  • Group-Sequential Non-Inferiority Tests for Two Hazard Rates (Simulation) – Unequal n’s
  • Group-Sequential Superiority by a Margin Tests for Two Hazard Rates (Simulation)
  • Group-Sequential Superiority by a Margin Tests for Two Hazard Rates (Simulation) – Unequal n’s
  • Conditional Power of Logrank Tests
  • Cox Regression
  • Tests for One Exponential Mean with Replacement
  • Tests for One Exponential Mean without Replacement
  • Tests for Two Exponential Means
  • Tests for Two Exponential Means – Unequal n’s
  • Confidence Intervals for the Exponential Lifetime Mean
  • Confidence Intervals for the Exponential Hazard Rate
  • Confidence Intervals for an Exponential Lifetime Percentile
  • Confidence Intervals for Exponential Reliability
  • Probit Analysis - Probit
  • Probit Analysis – Logit
  • Logrank Tests – Freedman
  • Logrank Tests – Freedman – Unequal n’s
  • Logrank Tests – Lachin and Foulkes
  • Logrank Tests – Lachin and Foulkes – Unequal n’s
  • Conditional Power of Non-Inferiority Logrank Tests
  • Conditional Power of Superiority by a Margin Logrank Tests
  • Tests of Mediation Effect in Cox Regression
  • One-Sample Tests for Exponential Hazard Rate

Tolerance Intervals - 6 Scenarios

  • Tolerance Intervals for Normal Data
  • Tolerance Intervals for Any Data (Nonparametric)
  • Tolerance Intervals for Exponential Data
  • Tolerance Intervals for Gamma Data
  • Tests for One Proportion to Demonstrate Conformance with a Reliability Standard
  • Tests for One Proportion to Demonstrate Conformance with a Reliability Standard with Fixed Adverse Events

Two-Part Models - 2 Scenarios

  • Tests for Two Groups Assuming a Two-Part Model
  • Tests for Two Groups Assuming a Two-Part Model with Detection Limits

Variances and Standard Deviations - 68 Scenarios

  • Tests for One Variance
  • Tests for Two Variances
  • Tests for Two Variances – Unequal n’s
  • Bartlett Test of Variances (Simulation)
  • Bartlett Test of Variances (Simulation) – Unequal n’s
  • Levene Test of Variances (Simulation)
  • Levene Test of Variances (Simulation) – Unequal n’s
  • Brown-Forsythe Test of Variances (Simulation)
  • Brown-Forsythe Test of Variances (Simulation) – Unequal n’s
  • Conover Test of Variances (Simulation)
  • Conover Test of Variances (Simulation) – Unequal n’s
  • Power Comparison of Tests of Variances with Simulation
  • Power Comparison of Tests of Variances with Simulation – Unequal n’s
  • Confidence Intervals for One Standard Deviation using Standard Deviation
  • Confidence Intervals for One Standard Deviation using Relative Error
  • Confidence Intervals for One Standard Deviation with Tolerance Probability – Known Standard Deviation
  • Confidence Intervals for One Standard Deviation with Tolerance Probability – Sample Standard Deviation
  • Confidence Intervals for One Variance using Variance
  • Confidence Intervals for One Variance using Relative Error
  • Confidence Intervals for One Variance with Tolerance Probability – Known Variance
  • Confidence Intervals for One Variance with Tolerance Probability – Sample Variance
  • Confidence Intervals for the Ratio of Two Variances using Variances
  • Confidence Intervals for the Ratio of Two Variances using Variances – Unequal n’s
  • Confidence Intervals for the Ratio of Two Variances using Relative Error
  • Confidence Intervals for the Ratio of Two Variances using Relative Error – Unequal n’s
  • Quality Control Charts for Variability – R (Simulation)
  • Quality Control Charts for Variability – S (Simulation)
  • Quality Control Charts for Variability – S with Probability Limits (Simulation)
  • Equivalence Tests for the Ratio of Two Within-Subject Variances in a Parallel Design
  • Non-Inferiority Tests for the Ratio of Two Within-Subject Variances in a Parallel Design
  • Superiority by a Margin Tests for the Ratio of Two Within-Subject Variances in a Parallel Design
  • Tests for the Ratio of Two Within-Subject Variances in a Parallel Design
  • Non-Unity Null Tests for the Ratio of Within-Subject Variances in a Parallel Design
  • Equivalence Tests for the Ratio of Two Within-Subject Variances in a 2×2M Replicated Cross-Over Design
  • Non-Inferiority Tests for the Ratio of Two Within-Subject Variances in a 2×2M Replicated Cross-Over Design
  • Superiority by a Margin Tests for the Ratio of Two Within-Subject Variances in a 2×2M Replicated Cross-Over Design
  • Tests for the Ratio of Two Within-Subject Variances in a 2×2M Replicated Cross-Over Design
  • Non-Unity Null Tests for the Ratio of Within-Subject Variances in a 2×2M Replicated Cross-Over Design
  • Tests for the Ratio of Two Variances
  • Non-Unity Null Tests for the Ratio of Two Variances
  • Non-Inferiority Tests for the Ratio of Two Variances
  • Superiority by a Margin Tests for the Ratio of Two Variances
  • Equivalence Tests for the Ratio of Two Variances
  • Tests for Two Between-Subject Variances in a 2×2M Replicated Cross-Over Design
  • Non-Unity Null Tests for Two Between-Subject Variances in a 2×2M Replicated Cross-Over Design
  • Non-Inferiority Tests for Two Between-Subject Variances in a 2×2M Replicated Cross-Over Design
  • Superiority by a Margin Tests for Two Between-Subject Variances in a 2×2M Replicated Cross-Over Design
  • Tests for Two Total Variances in a 2×2M Replicated Cross-Over Design
  • Non-Unity Null Tests for Two Total Variances in a 2×2M Replicated Cross-Over Design
  • Non-Inferiority Tests for Two Total Variances in a 2×2M Replicated Cross-Over Design
  • Superiority by a Margin Tests for Two Total Variances in a 2×2M Replicated Cross-Over Design
  • Tests for Two Total Variances in a Replicated Design
  • Non-Unity Null Tests for Two Total Variances in a Replicated Design
  • Non-Inferiority Tests for Two Total Variances in a Replicated Design
  • Superiority by a Margin Tests for Two Total Variances in a Replicated Design
  • Tests for Two Total Variances in a 2×2 Cross-Over Design
  • Non-Unity Null Tests for Two Total Variances in a 2×2 Cross-Over Design
  • Non-Inferiority Tests for Two Total Variances in a 2×2 Cross-Over Design
  • Superiority by a Margin Tests for Two Total Variances in a 2×2 Cross-Over Design
  • Tests for Two Between Variances in a Replicated Design
  • Non-Unity Null Tests for Two Between Variances in a Replicated Design
  • Non-Inferiority Tests for Two Between Variances in a Replicated Design
  • Superiority by a Margin Tests for Two Between Variances in a Replicated Design
  • Tests for the Difference of Two Within-Subject CV's in a Parallel Design
  • Non-Zero Null Tests for the Difference of Two Within-Subject CV's in a Parallel Design
  • Non-Inferiority Tests for the Difference of Two Within-Subject CV's in a Parallel Design
  • Superiority by a Margin Tests for the Difference of Two Within-Subject CV's in a Parallel Design
  • Equivalence Tests for the Difference of Two Within-Subject CV's in a Parallel Design

Bayesian Adjustment

  • Bayesian Adjustment using the Posterior Error Approach

Tools

  • Installation Validation Tool for Installation Qualification (IQ)
  • Procedure Validation Tool for Operational Qualification (OQ)
  • Chi-Square Effect-Size Estimator
  • Multinomial Effect-Size Estimator
  • Odds Ratio to Proportions Converter
  • Probability Calculator (Various Distributions)
  • Standard Deviation Estimator
  • Survival Parameter Conversion Tool
  • Standard Deviation of Means Calculator
  • Data Simulator

Design of Experiments (Non-Sample Size Tools)

These tools are used to generate designs, not to estimate or analyze sample size.
  • Balanced Incomplete Block Designs
  • D-Optimal Designs
  • Design Generator
  • Fractional Factorial Designs
  • Latin Square Designs
  • Response Surface Designs
  • Screening Designs
  • Taguchi Designs
  • Two-Level Designs
  • Randomization Lists


 

 

 

 

 

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