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，MannWhitney 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？
GroupSequential Tests (with Futility Boundary Options)
For each of these groupsequential power and sample size procedures, there are corresponding groupsequential analysis and samplesize reestimation procedures in NCSS 2019.
GroupSequential Tests for Two Means with Known Variances (Simulation)
GroupSequential TTests for Two Means (Simulation)
GroupSequential Tests for Two Proportions (Simulation)
Conditional Power
Conditional Power of TwoSample TTests for NonInferiority
Conditional Power of TwoSample TTests for Superiority by a Margin
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Conditional Power of NonInferiority Tests for the Difference Between Two Proportions
Conditional Power of Superiority by a Margin Tests for the Difference Between Two Proportions
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Conditional Power of NonInferiority Logrank Tests
Conditional Power of Superiority by a Margin Logrank Tests
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Conditional Power of NonInferiority Tests for Two Means in a 2×2 CrossOver Design
Conditional Power of Superiority by a Margin Tests for Two Means in a 2×2 CrossOver Design
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Conditional Power of OneSample TTests for NonInferiority
Conditional Power of OneSample TTests for Superiority by a Margin
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Conditional Power of Paired TTests for NonInferiority
Conditional Power of Paired TTests for Superiority by a Margin
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Conditional Power of NonInferiority 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 ClusterRandomized Design
Superiority by a Margin Tests for the Ratio of Two Proportions in a ClusterRandomized Design
Mixed Models Tests
Mixed Models Tests for Two Means at the End of FollowUp in a 3Level Hierarchical Design (Level3 Randomization)
Mixed Models Tests for Two Means at the End of FollowUp in a 2Level Hierarchical Design
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Mixed Models Tests for Interaction in a 2×2 Factorial 2Level Hierarchical Design (Level2 Randomization)
Mixed Models Tests for Interaction in a 2×2 Factorial 2Level Hierarchical Design (Level1 Randomization)
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Mixed Models Tests for Interaction in a 2×2 Factorial 3Level Hierarchical Design (Level3 Randomization)
Mixed Models Tests for Interaction in a 2×2 Factorial 3Level Hierarchical Design (Level2 Randomization)
Mixed Models Tests for Interaction in a 2×2 Factorial 3Level Hierarchical Design (Level1 Randomization)
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Mixed Models Tests for SlopeInteraction in a 2×2 Factorial 3Level Hierarchical Design with Random Slopes (Level3 Randomization)
Mixed Models Tests for SlopeInteraction in a 2×2 Factorial 3Level Hierarchical Design with Random Slopes (Level2 Randomization)
Mixed Models Tests for SlopeInteraction in a 2×2 Factorial 2Level Hierarchical Design with Random Slopes (Level2 Randomization)
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Mixed Models Tests for SlopeInteraction in a 2×2 Factorial 3Level Hierarchical Design with Fixed Slopes (Level3 Randomization)
Mixed Models Tests for SlopeInteraction in a 2×2 Factorial 3Level Hierarchical Design with Fixed Slopes (Level2 Randomization)
Mixed Models Tests for SlopeInteraction in a 2×2 Factorial 2Level Hierarchical Design with Fixed Slopes (Level2 Randomization)
Simple Linear Regression
Simple Linear Regression
NonZero Null Tests for Simple Linear Regression
NonInferiority Tests for Simple Linear Regression
Superiority by a Margin Tests for Simple Linear Regression
Equivalence Tests for Simple Linear Regression
Simple Linear Regression using RSquared
NonZero Null Tests for Simple Linear Regression using RSquared
Multiple Regression
Multiple Regression
Bayesian Adjustment
Bayesian Adjustment using the Posterior Error Approach
Reference Intervals
Reference Intervals for Normal Data
Nonparametric Reference Intervals for NonNormal 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 NonCentral 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, TwoPart Model
Tests for Two Groups Assuming a TwoPart Model
Tests for Two Groups Assuming a TwoPart Model with Detection Limits
BlandAltman Method
BlandAltman Method for Assessing Agreement in Method Comparison Studies
WithinSubject Variances
Equivalence Tests for the Ratio of Two WithinSubject Variances in a Parallel Design
NonInferiority Tests for the Ratio of Two WithinSubject Variances in a Parallel Design
Superiority by a Margin Tests for the Ratio of Two WithinSubject Variances in a Parallel Design
Tests for the Ratio of Two WithinSubject Variances in a Parallel Design
NonUnity Null Tests for the Ratio of WithinSubject Variances in a Parallel Design
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Equivalence Tests for the Ratio of Two WithinSubject Variances in a 2×2M Replicated CrossOver Design
NonInferiority Tests for the Ratio of Two WithinSubject Variances in a 2×2M Replicated CrossOver Design
Superiority by a Margin Tests for the Ratio of Two WithinSubject Variances in a 2×2M Replicated CrossOver Design
Tests for the Ratio of Two WithinSubject Variances in a 2×2M Replicated CrossOver Design
NonUnity Null Tests for the Ratio of WithinSubject Variances in a 2×2M Replicated CrossOver Design
WithinSubject CV’s
Tests for the Difference of Two WithinSubject CV’s in a Parallel Design
NonZero Null Tests for the Difference of Two WithinSubject CV’s in a Parallel Design
NonInferiority Tests for the Difference of Two WithinSubject CV’s in a Parallel Design
Superiority by a Margin Tests for the Difference of Two WithinSubject CV’s in a Parallel Design
Equivalence Tests for the Difference of Two WithinSubject CV’s in a Parallel Design
Variance Ratios
Tests for the Ratio of Two Variances
NonUnity Null Tests for the Ratio of Two Variances
NonInferiority 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
BetweenSubject Variances
Tests for Two BetweenSubject Variances in a 2×2M Replicated CrossOver Design
NonUnity Null Tests for Two BetweenSubject Variances in a 2×2M Replicated CrossOver Design
NonInferiority Tests for Two BetweenSubject Variances in a 2×2M Replicated CrossOver Design
Superiority by a Margin Tests for Two BetweenSubject Variances in a 2×2M Replicated CrossOver Design
Two Total Variances
Tests for Two Total Variances in a 2×2M Replicated CrossOver Design
NonUnity Null Tests for Two Total Variances in a 2×2M Replicated CrossOver Design
NonInferiority Tests for Two Total Variances in a 2×2M Replicated CrossOver Design
Superiority by a Margin Tests for Two Total Variances in a 2×2M Replicated CrossOver Design
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Tests for Two Total Variances in a Replicated Design
NonUnity Null Tests for Two Total Variances in a Replicated Design
NonInferiority Tests for Two Total Variances in a Replicated Design
Superiority by a Margin Tests for Two Total Variances in a Replicated Design
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Tests for Two Total Variances in a 2×2 CrossOver Design
NonUnity Null Tests for Two Total Variances in a 2×2 CrossOver Design
NonInferiority Tests for Two Total Variances in a 2×2 CrossOver Design
Superiority by a Margin Tests for Two Total Variances in a 2×2 CrossOver Design
Two Between Variances
Tests for Two Between Variances in a Replicated Design
NonUnity Null Tests for Two Between Variances in a Replicated Design
NonInferiority Tests for Two Between Variances in a Replicated Design
Superiority by a Margin Tests for Two Between Variances in a Replicated Design
One Mean
OneSample TTests
OneSample ZTests
OneSample ZTests for NonInferiority
OneSample ZTests for Superiority by a Margin
OneSample ZTests for Equivalence
Wilcoxon SignedRank Tests
Wilcoxon SignedRank Tests
Wilcoxon SignedRank Tests for NonInferiority
Wilcoxon SignedRank Tests for Superiority by a Margin
Paired Tests
Paired TTests
Paired TTests for NonInferiority
Paired TTests for Superiority by a Margin
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Paired ZTests
Paired ZTests for NonInferiority
Paired ZTests for Superiority by a Margin
Paired ZTests for Equivalence
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Paired Wilcoxon SignedRank Tests
Paired Wilcoxon SignedRank Tests for NonInferiority
Paired Wilcoxon SignedRank Tests for Superiority by a Margin
TwoSample TTests
TwoSample TTests for NonInferiority Assuming Equal Variance
TwoSample TTests for NonInferiority Allowing Unequal Variance
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TwoSample TTests for Superiority by a Margin Assuming Equal Variance
TwoSample TTests for Superiority by a Margin Allowing Unequal Variance
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TwoSample TTests for Equivalence Allowing Unequal Variance
MannWhitney U or Wilcoxon RankSum Tests
MannWhitney U or Wilcoxon RankSum Tests
MannWhitney U or Wilcoxon RankSum Tests for NonInferiority
MannWhitney U or Wilcoxon RankSum 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 CrossOver Design
Conditional Power of Paired TTests
Conditional Power of TwoSample TTests
Conditional Power of OneSample TTests
Survival
Tests for the Difference of Two Hazard Rates Assuming an Exponential Model
Tests for Two Survival Curves Using Cox’s Proportional Hazards Model
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NonInferiority Logrank Tests
NonInferiority Tests for Two Survival Curves Using Cox’s Proportional Hazards Model
NonInferiority Tests for the Difference of Two Hazard Rates Assuming an Exponential Model
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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
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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
NonInferiority Tests for the Difference Between Two Proportions
NonInferiority Tests for the Ratio of Two Proportions
NonInferiority Tests for the Odds Ratio of Two Proportions
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NonInferiority Tests for the Difference Between Two Correlated Proportions
NonInferiority Tests for the Ratio of Two Correlated Proportions
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NonInferiority Tests for the Difference of Two Proportions in a ClusterRandomized Design
NonInferiority Tests for the Ratio of Two Proportions in a ClusterRandomized Design
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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
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Equivalence Tests for the Difference of Two Proportions in a ClusterRandomized Design
Equivalence Tests for the Ratio of Two Proportions in a ClusterRandomized Design
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Equivalence Tests for the Difference Between Two Correlated Proportions
Equivalence Tests for the Ratio of Two Correlated Proportions
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NonZero Null Tests for the Difference Between Two Proportions
NonUnity Null Tests for the Ratio of Two Proportions
NonUnity Null Tests for the Odds Ratio of Two Proportions
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NonZero Null Tests for the Difference of Two Proportions in a ClusterRandomized Design
NonUnity Null Tests for the Ratio of Two Proportions in a ClusterRandomized Design
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Tests for Two Proportions in a Stratified Design (CochranMantelHaenszel Test)
Tests for Two Proportions in a ClusterRandomized Design
Means
OneSample TTests for Superiority by a Margin
OneSample TTests for NonInferiority
OneSample TTests for Equivalence
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Paired TTests for Equivalence
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TwoSample TTests Assuming Equal Variance
TwoSample TTests Allowing Unequal Variance
TwoSample TTests for Equivalence Assuming Equal Variance
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Tests for the Ratio of Two Means
NonInferiority 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
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Tests for the Difference Between Two Means in a 2×2 CrossOver Design
Tests for the Ratio of Two Means in a 2×2 CrossOver Design
NonInferiority Tests for the Difference Between Two Means in a 2×2 CrossOver Design
NonInferiority Tests for the Ratio of Two Means in a 2×2 CrossOver Design
Superiority by a Margin Tests for the Difference of Two Means in a 2×2 CrossOver Design
Superiority by a Margin Tests for the Ratio of Two Means in a 2×2 CrossOver Design
Equivalence Tests for the Difference Between Two Means in a 2×2 CrossOver Design
Equivalence Tests for the Ratio of Two Means in a 2×2 CrossOver Design
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Tests for Two Means in a ClusterRandomized Design
NonInferiority Tests for Two Means in a ClusterRandomized Design
Superiority by a Margin Tests for Two Means in a ClusterRandomized Design
Equivalence Tests for Two Means in a ClusterRandomized Design
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Hotelling’s OneSample T2
Hotelling’s TwoSample T2
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Multiple Testing for One Mean (OneSample 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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