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Overview
The analysis of time-to-event data is moving beyond the proportional hazards assumption, and the Restricted Mean Survival Time (RMST) has emerged as a clinically and causally interpretable alternative to the hazard ratio. However, tools for designing studies based on modern, direct modeling approaches for the RMST have been lacking.
RMSTSS fills this critical gap by implementing a variety of advanced statistical methods for study design, allowing researchers to accurately plan trials under complex scenarios. This software suite consists of two primary components: an interactive web application for ease of use, and a comprehensive R package for flexibility and reproducibility.
Key Features
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Multiple Model Types: Handles various data structures and assumptions:
- Non-Stratified Models (Linear & GAM): For single-center studies with linear or non-linear covariate effects.
- Dependent Censoring Models: Appropriate for settings with competing risks.
- Stratified Models (Additive & Multiplicative): For multi-center trials with different treatment effect assumptions.
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Dual Calculation Methods: For many models, the package offers both:
- A fast analytical approach based on asymptotic variance formulas.
- A robust bootstrap (simulation-based) approach for enhanced accuracy.
- Interactive Application: Includes a user-friendly Shiny application for point-and-click analysis, making these advanced methods accessible to a broad audience.
Installation
You can install the development version of RMSTSS from GitHub with:
# install.packages("remotes")
remotes::install_github("UTHSC-Zhang/RMSTSS-package")Interactive Shiny Application
For users who prefer a graphical user interface, an interactive Shiny application is available. The app provides a point-and-click interface to all the package’s functionalities.
You can access the application directly in your web browser by following this link: Launch Web App