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Proportions GEE Tests for Multiple Proportions in a Cluster-Randomized Design GEE Tests for Two Proportions in a Split-Mouth Design 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 the TAD of Multiple Groups in a Repeated Measures Design (Binary Outcome) Rates and Counts GEE Tests for Multiple Poisson Rates in a Cluster-Randomized Design GEE Tests for the Slope of Two Groups in a Repeated Measures Design (Count Outcome) 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)
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 Designs 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 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
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 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)
Get to know PASS by downloading a free trial, viewing the video to the right, or exploring this website. PASS comes complete with integrated documentation and PhD statistician support. PASS has been fine-tuned for over 20 years, and is now the leading sample size software choice for clinical trial, pharmaceutical, and other medical research. It has also become a mainstay in all other fields where sample size calculation or evaluation is needed.
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