Design of single- and multi-stage multi-arm clinical trials
-
Updated
Jan 4, 2024 - R
Design of single- and multi-stage multi-arm clinical trials
MinSizeML (Minimum Size for Machine Learning) R package that contains functions to estimate the minimum sample size for machine learning
Power and Sample Size Calculation for the Cochran-Mantel-Haenszel Chi-Squared Test
Sample size and power for association studies involving mitochondrial DNA haplogroups -
BDEsize: An R Package for efficient determination of sample size in a balanced design of experiments. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021001229
The CIdemo app gives an easily accessible interactive demonstration of frequentistic confidence intervals (CI's).
Randomised treatment-control trials with binary composite endpoints
An R Shiny App that assesses sampling effects (e.g. sample size and BEAST parameters) on GMYC output for species delimitation.
A Tidy Extension for Power Analysis
This R code will help you determine what sample size is needed for a 2^2 factorial design
An R package for sample size determination
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.
Sample-Size Calculations for A/B Testing using Delta method
Repo for the paper entitled "Developing Risk Prediction Models using Penalisation within Data that Adheres to Minimum Sample Size Criteria"
Common Tools for Fisheries Analyses
Add a description, image, and links to the sample-size topic page so that developers can more easily learn about it.
To associate your repository with the sample-size topic, visit your repo's landing page and select "manage topics."