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使用导航树使输出变得简单。输出的格式可以方便地查看、复制、粘贴或保存。可以将多个输出运行发送到输出库,以保存或比较样本大小分析。
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 Dropout
Superiority by a Margin
Conditional Power and Sample Size Reestimation of One-Sample T-Tests for Superiority by a Margin
Conditional Power and Sample Size Reestimation of Paired T-Tests for Superiority by a Margin
Conditional Power and Sample Size Reestimation of Two-Sample T-Tests for Superiority by a Margin
Conditional Power and Sample Size Reestimation of Superiority by a Margin Tests for Two Means in a 2×2 Cross-Over Design
Obtaining A Sample Size In PASS
In PASS, you can estimate the sample size for a statistical test or confidence interval in a few short steps. If you need guidance during any of the steps, PASS has excellent documentation, there are free training videos, and you can contact our team of PhD statisticians.
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