| KONPsurv-package {KONPsurv} | R Documentation |
KONP Tests for Testing the Equality of K Distributions for Right-Censored Data
Description
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.
Details
The package contains one function:
konp_test: non-parametric tests for equality of K distributions using right-censored data.
Author(s)
Author and Maintainer: Matan Schlesinger matan.schles@gmail.com
Author: Malka Gorfine gorfinem@tauex.tau.ac.il
References
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
Examples
# gastric cancer data
data(gastric)
konp_test(gastric$time, gastric$status, gastric$group, n_perm=10^3)