https://github.com/seungjae2525/rmstsens

Sensitivity Analysis for Difference in adjusted Restricted Mean Survival Time to Unmeasured Confounding
https://github.com/seungjae2525/rmstsens

r rmst sensitivity-analysis unmeasured-confounding

Last synced: 2 months ago
JSON representation

Sensitivity Analysis for Difference in adjusted Restricted Mean Survival Time to Unmeasured Confounding

• Host: GitHub
• URL: https://github.com/seungjae2525/rmstsens
• Owner: seungjae2525
• License: other
• Created: 2022-05-26T08:51:29.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2024-10-17T04:55:31.000Z (over 1 year ago)
• Last Synced: 2025-12-31T10:15:21.529Z (6 months ago)
• Topics: r, rmst, sensitivity-analysis, unmeasured-confounding
• Language: R
• Homepage:
• Size: 225 KB
• Stars: 6
• Watchers: 3
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# RMSTSens

[![Project Status](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active/)

[![Package version](https://img.shields.io/badge/GitHub-1.0.0-orange.svg)](https://github.com/seungjae2525/RMSTSens/)

[![minimal R version](https://img.shields.io/badge/R-v4.0.0+-blue.svg)](https://cran.r-project.org/)

[![Lifecycle: stable](https://img.shields.io/badge/lifecycle-stable-brightgreen.svg)](https://lifecycle.r-lib.org/articles/stages.html#stable)

[![R-CMD-check](https://github.com/seungjae2525/RMSTSens/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/seungjae2525/RMSTSens/actions/workflows/R-CMD-check.yaml)

# Sensitivity analysis for unmeasured confounding in estimating the difference in restricted mean survival time

## Description

This is the source code for the `RMSTSens` package in R. 

`RMSTSens` is a package aimed at providing a novel sensitivity analysis method for the RMST difference when unmeasured confounding is suspected.

Given a user-specified sensitivity parameter, the sensitivity range of the difference in adjusted RMST is calculated with the percentile bootstrap confidence interval for the population sensitivity range. See reference for details.

 

### Reference

Lee, S., Park, J. H., and Lee, W. Sensitivity analysis for unmeasured confounding in estimating the difference in restricted mean survival time. *Statistical Methods in Medical Research*. 2024. 

## Installation

### Current GitHub release:

Installation using R package `remotes`:

```r

if (!require("devtools")) { install.packages("devtools") } # if devtools not already installed

devtools::install_github("seungjae2525/RMSTSens")

library(RMSTSens)

```

### Bug Reports:

You can also report bugs on GitHub under [Issues](https://github.com/seungjae2525/RMSTSens/issues/).