RMSTpowerBoost

RMSTpowerBoost provides power and sample size tools for study designs that use restricted mean survival time (RMST). The package supports direct RMST modeling with analytical and bootstrap-based procedures for settings that include linear covariate adjustment, stratification, semiparametric additive effects, and covariate-dependent censoring.

The package includes both an R interface and a Shiny application.

Guides

Key Features

Linear IPCW-based RMST power and sample size calculations.
Additive and multiplicative stratified models for multi-center or highly stratified studies.
Bootstrap-based semiparametric GAM procedures for nonlinear covariate effects.
Analytical and simulation-based methods for covariate-dependent censoring under a single censoring mechanism.

Installation

Install the development version from GitHub:

Code

install.packages("remotes")
remotes::install_github("UTHSC-Zhang/RMSTpowerBoost-Package")

Shiny App

Interactive web application:

https://arnab96.shinyapps.io/uthsc-app/

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RMSTpowerBoost Home

RMSTpowerBoost

Guides

Key Features

Installation

Shiny App