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.

Version: 0.1.0
Imports: stats, survival
Published: 2021-01-08
Author: Hong Zhang
Maintainer: Hong Zhang <hzhang at>
License: GPL-2
NeedsCompilation: no
CRAN checks: CauchyCP results


Reference manual: CauchyCP.pdf
Package source: CauchyCP_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: CauchyCP_0.1.0.tgz, r-oldrel: CauchyCP_0.1.0.tgz


Please use the canonical form to link to this page.