KONPSURV-package: KONP Tests for Testing the Equality of K Distributions for...

In matan-schles/KONPSURV: KONP Tests: Powerful K-Sample Tests 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 [e-mail]

Author: Malka Gorfine [e-mail]

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)
  

matan-schles/KONPSURV documentation built on Jan. 4, 2022, 6:21 p.m.