Description Details Author(s) References Examples
An implementation of the K-sample omnibus non-proportional hazrds (KONP) tests.
The KONP tests are powerful non-parametric tests for comparing K (>=2) hazard functions based on right-censored data. These tests are consistent against any differences between the hazard functions of the groups. The KONP tests are often more powerful than other existing tests, especially under non-proportional hazard functions.
The package contains one function:
konp_test
: non-parametric tests for equality of K distributions using right-censored data.
Author and Maintainer: Matan Schlesinger matan.schles@gmail.com
Author: Malka Gorfine gorfinem@tauex.tau.ac.il
Gorfine, M., Schlesinger, M., & Hsu, L. (2020). K-sample omnibus non-proportional hazards tests based on right-censored data. Statistical Methods in Medical Research, 29(10), 2830–2850. doi: 10.1177/0962280220907355
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