konp_test: KONP tests are K-sample Omnibus Non-Proportional hazards...

In matan-schles/KONPSURV: KONP Tests: Powerful K-Sample Tests for Right-Censored Data

Description

KONP tests are K-sample Omnibus Non-Proportional hazards tests for right-censored data.

Usage

konp_test(time, status, group, n_perm, n_impu = 1)

Arguments

time	A vector of the observed follow-up times.
status	A vector of event indicators, 0=right censored, 1= event at time.
group	A vector denoting the group labels, must contain at least two different values.
n_perm	The number of permutations.
n_impu	The number of imputations, for each imputation n_perm permutations will be executed.

Details

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.

Value

Three test statistics and their respective p-values are returned:

pv_chisq - returns the p-value based on the KONP test chi-square statistic.
pv_lr - returns the p-value based on the KONP test likelihood ratio statistic.
pv_cauchy - returns the p-value based on the KONP-based Cauchy-combination test statistic.
chisq_test_stat - returns the KONP test chi-squared test statistic.
lr_test_stat - returns the KONP test likelihood-ratio test statistic.
cauchy_test_stat - returns the KONP-based Cauchy-combination test statistic.

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.