CauchyCP
0.1.1Powerful Test for Survival Data under Non-Proportional Hazards
Overview
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.
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2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.5.0 released · 2025-04-11
- archivedRemoved from CRAN2025-01-10issues were not corrected in time
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.1.12022-08-12 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.1.02021-01-08
- RR 4.0.0 released · 2020-04-24
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- GPL-2 OSI
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- 0.4 KB / 1 file
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