The survAH package performs two-sample comparisons based on average hazard with survival weight (AHSW) or general censoring-free incidence rate (CFIR).
Installation
To install the package from the CRAN:
install.packages("survAH")
To install the most updated version:
devtools::install_github("uno1lab/survAH")
Usage
Please see the package vignette on the website https://www.uno1lab.com/survAH/
Reference
Uno H and Horiguchi M. Ratio and difference of average hazard with survival weight: new measures to quantify survival benefit of new therapy. Statistics in Medicine. 2023;1-17. https://doi.org/10.1002/sim.9651
Horiguchi M, Tian L, Kehl K.L., and Uno H. Assessing delayed treatment benefits of immunotherapy using long-term average hazard: a novel test/estimation approach. arXiv. 2024. <arXiv:2403.10742>
Qian Z, Tian L, Horiguchi M, and Uno H. A novel stratified analysis method for testing and estimating overall treatment effects on time-to-event outcomes using average hazard with survival weight. Statistics in Medicine. 2025. <arXiv:2404.00788>