Minimal A/B Testing Library in PHP
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Updated
Jul 26, 2020 - PHP
Minimal A/B Testing Library in PHP
rpact: Confirmatory Adaptive Clinical Trial Design and Analysis
Clinical Trial related calculation: descriptive statistics, power and sample size calculation, randomization.
Precision Based Sample Size Calculation
AB test sample size calculator run through Streamlit
This python project is a helper package that uses power analysis to calculate required sample size for any experiment
Free WordPress Plugin: This sample size calculator enables you to calculate the minimum sample size and the margin of error. Learn about sample size, the margin of error, & confidence interval. www.calculator.io/sample-size-calculator/
Design of single- and multi-stage multi-arm clinical trials
`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
Code for calculating sample sizes for A/B tests based on power analysis.
Sample Size for Medical Research with R: A Quick Guide Cookbook
Joint power analysis for non-symmetric two-stage case-control designs
R package for sample size calculation for the Wilcoxon-Mann-Whitney test.
Power Analysis for SEM models in R
Power and sample size for Hypothesis testiing.
SimTOST is an R package designed to facilitate the sample size estimation for bioequivalence studies using a simulation-based approach.
R scripts of Innocenti et al. (2021, Statistical Methods in Medical Research, 30(2), 357-375)
Supplemental material for Redfors, Björn, et al. "The win ratio approach for composite endpoints: practical guidance based on previous experience." European Heart Journal (2020). This repo contains R functions that approximate the sample size for a two-arm clinical trial based on a composite endpoint analyzed using the Win Ratio.
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