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The survAH package performs two-sample comparisons based on average hazard with survival weight (AHSW) or general censoring-free incidence rate (CFIR).
To install the package from the CRAN:
install.packages("survAH")To install the most updated version:
devtools::install_github("uno1lab/survAH")Please see the package vignette on the website https://www.uno1lab.com/survAH/
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;42(7):936-952. https://doi.org/10.1002/sim.9651
Uno H, Tian L, Horiguchi M, Hattori S, Kehl KL. Regression models for average hazard. Biometrics. 2024; 80(2):ujae037. https://doi.org/10.1093/biomtc/ujae037
Horiguchi M, Tian L, Kehl KL, Uno H. Assessing delayed treatment benefits of immunotherapy using long-term average hazard: a novel test/estimation approach. Lifetime Data Anal. 2025; 31(4):784-809. https://doi.org/10.1007/s10985-025-09671-0
Qian Z, Tian L, Horiguchi M, 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. Stat Med. 2025; 44(7):e70056. https://doi.org/10.1002/sim.70056
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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