The R Journal: article published in 2020, volume 12:2

Comparing Multiple Survival Functions with Crossing Hazards in R
Hsin-wen Chang, Pei-Yuan Tsai, Jen-Tse Kao and Guo-You Lan , The R Journal (2020) 12:2, pages 20-42.

Abstract It is frequently of interest in time-to-event analysis to compare multiple survival functions nonparametrically. However, when the hazard functions cross, tests in existing R packages do not perform well. To address the issue, we introduce the package survELtest, which provides tests for comparing multiple survival functions with possibly crossing hazards. Due to its powerful likelihood ratio formulation, this is the only R package to date that works when the hazard functions cross. We illustrate the use of the procedures in survELtest by applying them to data from randomized clinical trials and simulated datasets. We show that these methods lead to more significant results than those obtained by existing R packages.

Received: 2019-07-01; online 2021-01-14, supplementary material, (unknown)
CRAN packages: survival, YPmodel, survRM2, survELtest, emplik, emplik2, ELYP, FHtest, clinfun, LogrankA, coin, maxstat, boot, muhaz
CRAN Task Views cited directly: Survival
CRAN Task Views implied by cited CRAN packages: Survival, ClinicalTrials, Econometrics, SocialSciences, Optimization, TimeSeries

This article and supplementary materials are licensed under a Creative Commons Attribution 4.0 International license.

@article{RJ-2021-002,
  author = {Hsin-wen Chang and Pei-Yuan Tsai and Jen-Tse Kao and Guo-You
          Lan},
  title = {{Comparing Multiple Survival Functions with Crossing Hazards
          in R}},
  year = {2021},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2021-002},
  url = {https://doi.org/10.32614/RJ-2021-002},
  pages = {20--42},
  volume = {12},
  number = {2}
}