rpact: Confirmatory Adaptive Clinical Trial Design and Analysis
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Updated
Jun 10, 2026 - R
rpact: Confirmatory Adaptive Clinical Trial Design and Analysis
Minimal A/B Testing Library in PHP
Precision Based Sample Size Calculation
Clinical Trial related calculation: descriptive statistics, power and sample size calculation, randomization.
This python project is a helper package that uses power analysis to calculate required sample size for any experiment
Design of single- and multi-stage multi-arm clinical trials
AB test sample size calculator run through Streamlit
Free WordPress Plugin: Calculate the exact sample size and margin of error for your next survey or study. Use our free Sample Size Calculator for statistically accurate results. www.calculator.io/sample-size-calculator/
`powerly` is an R package for conducting sample size analysis for network models and more.
Collection of scripts and modules for biostatistics and data science simple automation for research process.
Web application to run meta-analyses
Package providing functions to calculate pseudo-ranks and (pseudo)-rank based nonparametric test statistics.
Power Analysis for SEM models in R
R package for sample size calculation for the Wilcoxon-Mann-Whitney test.
Sample Size for Medical Research with R: A Quick Guide Cookbook
Code for calculating sample sizes for A/B tests based on power analysis.
SimTOST is an R package designed to facilitate the sample size estimation for bioequivalence studies using a simulation-based approach.
Joint power analysis for non-symmetric two-stage case-control designs
📈 Sample Size Estimation for the {pregnancy} Project
Power and sample size for Hypothesis testiing.
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