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  PASS:功效分析和样本大小软件

PASS 2019版最新更新

我们很高兴地宣布发布PASS 2019. PASS 2019增加了126个新的样本量程序,包括68个更新或改进的程序。 新程序包括群体顺序检验,条件功效,调解效应检验,双比例,混合模型检验,简单线性回归,多元回归,贝叶斯调整,参考区间,试点研究,两部分模型,Bland- Altman方法,单均值,配对检验,双样本T检验,Wilcoxon符号秩检验,Mann-Whitney U或Wilcoxon秩和检验,以及各种方差和CV比较程序。

对于PASS 2019中的3个新的组序列样本量程序,在NCSS 2019中有相应的组序列分析和样本量重新估计程序.NCSS 2019中有哪些新内容?

Group-Sequential Tests (with Futility Boundary Options)
For each of these group-sequential power and sample size procedures, there are corresponding group-sequential analysis and sample-size re-estimation procedures in NCSS 2019.

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)

Conditional Power

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 2×2 Cross-Over Design
Conditional Power of Superiority by a Margin Tests for Two Means in a 2×2 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

Tests of Mediation Effect

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

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

Mixed Models Tests

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)

Simple Linear Regression

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

Multiple Regression

Multiple Regression
Bayesian Adjustment
Bayesian Adjustment using the Posterior Error Approach

Reference Intervals

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

Pilot Studies

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

Two Groups, Two-Part Model

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

Bland-Altman Method

Bland-Altman Method for Assessing Agreement in Method Comparison Studies

Within-Subject Variances

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

Within-Subject CV’s

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

Variance Ratios

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

Between-Subject 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

Two Total Variances

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

Two Between Variances

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

One Mean

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
Wilcoxon Signed-Rank Tests for Non-Inferiority
Wilcoxon Signed-Rank Tests for Superiority by a Margin
Paired 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

Two-Sample T-Tests

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
Mann-Whitney U or Wilcoxon Rank-Sum Tests for Non-Inferiority
Mann-Whitney U or Wilcoxon Rank-Sum Tests for Superiority by a Margin

Updated and/or Improved Procedures in PASS 2019
Conditional Power

Conditional Power of Logrank Tests
Conditional Power of Tests for the Difference Between Two Proportions
Conditional Power of Tests for One Proportion
Conditional Power of Tests for Two Means in a 2×2 Cross-Over Design
Conditional Power of Paired T-Tests
Conditional Power of Two-Sample T-Tests
Conditional Power of One-Sample T-Tests

Survival

Tests for the Difference of Two Hazard Rates Assuming an Exponential Model
Tests for Two Survival Curves Using Cox’s Proportional Hazards Model

Non-Inferiority Logrank Tests
Non-Inferiority Tests for Two Survival Curves Using Cox’s Proportional Hazards Model
Non-Inferiority Tests for the Difference of Two Hazard Rates Assuming an Exponential Model

Superiority by a Margin Tests for Two Survival Curves Using Cox’s Proportional Hazards Model
Superiority by a Margin Tests for the Difference of Two Hazard Rates Assuming an Exponential Model

Equivalence Tests for Two Survival Curves Using Cox’s Proportional Hazards Model
Equivalence Tests for the Difference of Two Hazard Rates Assuming an Exponential Model

Proportions

Non-Inferiority Tests for the Difference Between Two Proportions
Non-Inferiority Tests for the Ratio of Two Proportions
Non-Inferiority Tests for the Odds Ratio of Two Proportions

Non-Inferiority Tests for the Difference Between Two Correlated Proportions
Non-Inferiority Tests for the Ratio of Two Correlated Proportions

Non-Inferiority Tests for the Difference of Two Proportions in a Cluster-Randomized Design
Non-Inferiority Tests for the Ratio of Two Proportions in a Cluster-Randomized Design

Equivalence Tests for the Difference Between Two Proportions
Equivalence Tests for the Ratio of Two Proportions
Equivalence Tests for the Odds Ratio of Two Proportions

Equivalence Tests for the Difference of Two Proportions in a Cluster-Randomized Design
Equivalence Tests for the Ratio of Two Proportions in a Cluster-Randomized Design

Equivalence Tests for the Difference Between Two Correlated Proportions
Equivalence Tests for the Ratio of Two Correlated Proportions

Non-Zero Null Tests for the Difference Between Two Proportions
Non-Unity Null Tests for the Ratio of Two Proportions
Non-Unity Null Tests for the Odds Ratio of Two Proportions

Non-Zero Null Tests for the Difference of Two Proportions in a Cluster-Randomized Design
Non-Unity Null Tests for the Ratio of Two Proportions in a Cluster-Randomized Design

Tests for Two Proportions in a Stratified Design (Cochran-Mantel-Haenszel Test)
Tests for Two Proportions in a Cluster-Randomized Design

Means

One-Sample T-Tests for Superiority by a Margin
One-Sample T-Tests for Non-Inferiority
One-Sample T-Tests for Equivalence

Paired T-Tests for Equivalence

Two-Sample T-Tests Assuming Equal Variance
Two-Sample T-Tests Allowing Unequal Variance
Two-Sample T-Tests for Equivalence Assuming Equal Variance

Tests for the Ratio of Two Means
Non-Inferiority Tests for the Ratio of Two Means
Superiority by a Margin Tests for the Ratio of Two Means
Equivalence Tests for the Ratio of Two Means

Tests for the Difference Between Two Means in a 2×2 Cross-Over Design
Tests for the Ratio of Two Means in a 2×2 Cross-Over Design
Non-Inferiority Tests for the Difference Between Two Means in a 2×2 Cross-Over Design
Non-Inferiority Tests for the Ratio of Two Means in a 2×2 Cross-Over Design

Superiority by a Margin Tests for the Difference of Two Means in a 2×2 Cross-Over Design
Superiority by a Margin Tests for the Ratio of Two Means in a 2×2 Cross-Over Design
Equivalence Tests for the Difference Between Two Means in a 2×2 Cross-Over Design
Equivalence Tests for the Ratio of Two Means in a 2×2 Cross-Over Design

Tests for Two Means in a Cluster-Randomized Design
Non-Inferiority Tests for Two Means in a Cluster-Randomized Design
Superiority by a Margin Tests for Two Means in a Cluster-Randomized Design
Equivalence Tests for Two Means in a Cluster-Randomized Design

Hotelling’s One-Sample T2
Hotelling’s Two-Sample T2

Multiple Testing for One Mean (One-Sample or Paired Data)
Multiple Testing for Two Means

Linear Regression Slope

Confidence Intervals for Linear Regression Slope

Coefficient Alpha

Tests for One Coefficient Alpha
Tests for Two Coefficient Alphas

Variances

Tests for One Variance

PASS 2019兼容性

PASS 2019与Windows 10,8.1,8,7和Vista SP2的32位和64位操作系统上完全兼容

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