Empirical Likelihood Based Test for Equality of Cumulative Incidence Functions

Abstract

An empirical likelihood based test for comparing the incidence functions for multiple competing risks is proposed, without making any assumptions on the distribution of the failure times. The performance of the proposed method is assessed based on large number of simulations and compared with existing method. Simulation studies shows that the proposed method has comparable performance when there is no censoring and has better performance where there is heavy censoring. We applied our proposed method in a well known data set.