Abstract. Survival comparison is one of the main goals and interesting problems in most survival studies such as clinical studies. In this paper, we compare through a Monte Carlo study, several tests for comparison of survival functions for interval censored failure time data. In particular, three nonparametric generalized log-rank tests, a parametric score test and an imputation-based test have been considered. It is observed that the parametric score test and the imputation test outperform the nonparametric generalized log-rank tests in most cases. Finally, a real dataset is studied for illustrative purposes.
