RMSTpowerBoost: Power and Sample Size Calculations for RMST-Based Trials

Overview

RMSTpowerBoost provides power and sample size tools for study designs that use restricted mean survival time (RMST) as a summary metric of time-to-event outcomes. The package supports covariate adjustment with analytical and simulation-based procedures for settings that include nonproportional hazards, stratification or multi-center effects, and dependent censoring.

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

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:

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

Shiny App

Interactive web application:

Launch the Shiny App