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分析及样本量计算软件PASS 2020已正式发布

PASS 2020增加了38个新的样本量程序,包括33个更新或改进的程序。新程序包括组序测试,GEE测试,群集和/或分层设计的置信区间,上市后监视,Split-Mouth设计以及多重比例和泊松率。


对于PASS 2020中新的组顺序样本数量程序,NCSS 2020中有相应的组顺序分析和样本大小重新估计程序。


New Procedures in PASS 2020


Group-Sequential Tests(With Futility Boundary Options)

For each of these group-sequential power and sample size procedures, these are corresponding group-sequential analysis and sample-size re-estimation procedures in NCSS 2020.


Group-Sequential Tests(with Futility Boundary Options)

For each of these group-sequential power and sample size procedures, these are corresponding group-sequential analysis and sample-size re-estimation procedures in NCSS 2020.


Group-Sequential Tests for Two Hazard Rates(Simulation)

Group-Sequential Non-Inferiority Tests for Two Hazard Rates(Simulation)

Group-Sequential Superiority bu a Margin Tests for Two Hazard Rates(Simulation)

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Group-Sequential Non-Inferiority Tests for Two Means with Known Variances(Simulation)

Group-Sequential Superiority by a Margin Tests for Two Means with Known Variances (Simulation)

Group-Sequential Non-Inferiorty T-Tests fpr Two Means(Simulation)

Group-Sequential Superiority by a Margin T-Tests for Two Means (Simulation)

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Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation)

Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation)

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Group-Sequential Tests for one Means with Known Variance (Simulation)

Group-Sequential T-Tests for One Means (Simulation)


GEE Tests

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

GEE Tests for Two Correlated Proportions with Dropot


Post-Marketing Surveillance for Poisson Rates

Tests for One Poisson Rate with No Background Incidence (Post-Marketing Surveillance)

Tests for One Poisson Rate with Known Bachground Incidence (Post-Marketing Surveillance)

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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)


Split-Mouth Design

Tests for Two Means in a Split-Mouth Design

Tests for Two Proportions in a Split-Mouth Design


Confidence Intervals in Cluster and/or Stratified Design

Confidence Intervals for One Proportion in a Stratified Design

Confidence Intervals foe One Proportion in a Cluster-Randomized Design

Confidence Intervals for One Proportiob in a Stratified Cluster-Randomized Design

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Confidence Intervals for One Means in a Stratified Design

Confidence Intervals for One Means in a Cluster-Randomized Design

Confidence Intervals for One Means in a Stratified Cluster-Randomized Design


Other Cluster-Randomized Design Scenarios

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

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


Other Proportion Tests

Tests for Two Correlated Proportions with Incomplete Observations

Tests for Multiple Proportions in a One-Way Design

Two-Stage Designs for Tests of One Proportion(Simon)


Multiple Poisson Rates

Tests for Multiple Poisson Rates in a One-Way Design


Exponential Hazard Rate

One-Sample Tests for Exponentail Hazard Rate


Ratio of Two Means

Equivalence Tests for the Ratio of Two Means(Normal Data)


Updated and/or Improved Procedures in PASS 2020

Randomization Lists

Randomization Lists


Conditional Power and Sample Size Re-estimation

Conditional Power and Sample Size Reestimation of Logrank Tests

Conditional Power and Sample Size Reestimation of Non-Inferiority Logrank Tests

Conditional Power and Sample Size Reestimation of Superiority by a Margin Logrank Tets

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Conditional Power and Sample Size Reestimation of Tests for the Difference Between Two Proportions

Conditional Power and Sample Size Reestimation or Non-Inferiority Tests for Two Proportions

Conditional Power and Sample Size Reestimation or Superiority by a Margin tests for Two Proportions

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Conditional Power and Sample Size Reestimation of Tests for One Proportion

Conditional Power and Sample Size Reestimation of Non-Inferiority Tests for One Proportion

Conditional Power and Sample Size Reestimation of Superiority by a Margin Tests for One Proportion

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Conditional Power and Sample Size Reestimation of Tests for Two Means in 2×2 Cross-Over Design

Conditional Power and Sample Size Reestimation of Non-Inferiority Tests for Two Means in a 2×2 Cross-Over Design

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

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Conditional Power and Sample Size Reestimation of Paired T-Tests

Conditional Power and Sample Size Reestimation od Paired T-Tests for Non-Inferiority

Conditional Power and Sample Size Reestimation of Paired T-Tests for Superiority by a Margin

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Conditional Power and Sample Size Reestimation of Two-Sample T-Tests

Conditional Power and Sample Size Reestimation of Two-Sample T-Tests for Non-Inferiority

Conditional Power and Sample Size Reestimation of Two-Sample T-Tests for Superiority by a Margin

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Conditional Power and Sample Size Reestimation of One-Sample T-Tests

Conditional Power and Sample Size Reestimation of One-Sample T-Tests for Non-Inferiority

Conditional Power and Sample Size Reestimation of One-Sample T-Tests for Superiority by a Margin


One-Way ANOVA

One-Way Analysis of Variance F-Tests

One-Way Analysis of Variance F-Tests using Effect Size

One-Way Analysis of Variance Contrasts


Simulation of Means Tests

Tests for One Means(Simulation)

Tests for Paired Means(Simulation)

Tests for Two Means(Simulation)

Mann-Whitney U-or Wilcoxon Rank-Sum Tests(Simulation)


Others Tests

Equivalence Tests for the Ratio of Two Means(Log-Normal Data)

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

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Tests for the Difference Between Two Poisson Rates in a Cluster-Randomized Design

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Tests for Two Correlated Proportions(McNemar Tests)


Compatibility of PASS 2020

PAS 1010 is fully compatible with windows 10, 8.1、8、7, and Vista SP2, on both 32-bit and 64-bit operating systems.




查看PASS软件详情

统计分析软件NCSS 2020已正式发布
GWB地球化学模拟软件14.0版本已正式发布

2020-02-18

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