Precision Based Sample Size Calculation
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Updated
Oct 30, 2024 - R
Precision Based Sample Size Calculation
Design of single- and multi-stage multi-arm clinical trials
rpact: Confirmatory Adaptive Clinical Trial Design and Analysis
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
`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.
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.
Joint power analysis for non-symmetric two-stage case-control designs
Code for calculating sample sizes for A/B tests based on power analysis.
Power Analysis for SEM models in R
Web application to run meta-analyses
Sample-Size Calculations for A/B Testing using Delta method
Sample size estimation for single cell studies
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.
R package for sample size calculation for the Wilcoxon-Mann-Whitney test.
R Shinyapp to calculate sample size for a given power
📈 Sample size estimation for the {pregnancy} project
Sample Size for Medical Research with R: A Quick Guide Cookbook
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