swMATH ID: 38234
Software Authors: Hong Zhang
Description: R package CauchyCP: Powerful Test for Survival Data under Non-Proportional Hazards. An omnibus test of change-point Cox regression models to improve the statistical power of detecting signals of non-proportional hazards patterns. The technical details can be found in Hong Zhang, Qing Li, Devan Mehrotra and Judong Shen (2021) <arXiv:2101.00059>. Extensive simulation studies demonstrate that, compared to existing tests under non-proportional hazards, the proposed CauchyCP test 1) controls the type I error better at small alpha levels; 2) increases the power of detecting time-varying effects; and 3) is more computationally efficient.
Homepage: https://cran.r-project.org/web/packages/CauchyCP/index.html
Source Code:  https://github.com/cran/CauchyCP
Dependencies: R
Keywords: arXiv_stat.ME; Genomics; arXiv_q-bio.GN; arXiv_stat.AP; R; R package; non-proportional hazards; time-to-event endpoint; Cauchy combination test; change-point Cox regression; omnibus test; MaxCombo
Related Software: survival; R; CRAN
Cited in: 0 Publications

Standard Articles

1 Publication describing the Software Year
CauchyCP: a powerful test under non-proportional hazards using Cauchy combination of change-point Cox regressions
Hong Zhang, Qing Li, Devan V. Mehrotra, Judong Shen