There are 2 repositories under sample-size-calculation topic.
Minimal A/B Testing Library in PHP
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
AB test sample size calculator run through Streamlit
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/
`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.
Package providing functions to calculate pseudo-ranks and (pseudo)-rank based nonparametric test statistics.
Code for calculating sample sizes for A/B tests based on power analysis.
Sample Size for Medical Research with R: A Quick Guide Cookbook
📈 Sample Size Estimation for the {pregnancy} Project
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.
Content from the course "Principles and Applications in Statistical Analysis (52221)" at The Hebrew University of Jerusalem, in the Department of Statistics and Data Science.
R Shinyapp to calculate sample size for a given power
Precise and fully-featured A/B/n Test sample size & duration calculator.
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.
R scripts of Innocenti et al. (2021, Statistical Methods in Medical Research, 30(2), 357-375)
Shiny app to compute the sample size for optimal designs for univariate norming based on the methods derived in Innocenti et al. (2023, Psychological Methods, 28(1), 89–106)
Shiny app to compute the sample size for optimal designs for multivariate norming based on the methods developed in Innocenti et al. (2024, Journal of Educational and Behavioral Statistics, 49(5), 817-847)
Sample-Size Calculations for A/B Testing using Delta method
R functions I made over the years to make my work easier. Includes data visualization functions in base R and functions for extracting relevant info from R model objects to make useful, informative tables.
Sample size calculation to exponentially decaying IGRA+ proportion