Empirical likelihood ratio tests for two sample comparison under current status data

Abstract

This article focuses on the two sample test of the survival function of the failure time under the current status data and introduces three types of the non-parametric two sample test of the survival function. This paper constructs the empirical likelihood ratio test with a weighted approach for the two sample comparison based on MLE, SMLE, and MSLE. A bootstrap method is given for constructing the null hypothesis distribution and determining p-value. In simulation studies, we examine the finite-sample performance of the proposed approach and compare it with an existing method.