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 wpi.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: CauchyCP results

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Reference manual: CauchyCP.pdf
Package source: CauchyCP_0.1.0.tar.gz
Windows binaries: r-devel: CauchyCP_0.1.0.zip, r-release: CauchyCP_0.1.0.zip, r-oldrel: CauchyCP_0.1.0.zip
macOS binaries: r-release (arm64): CauchyCP_0.1.0.tgz, r-release (x86_64): CauchyCP_0.1.0.tgz, r-oldrel: CauchyCP_0.1.0.tgz

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