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) doi:10.48550/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.
- Version0.1.1
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release08/12/2022
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Hong Zhang
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- Imports1 package