A simple nonparametric two-sample test for the distribution function of event time with interval censored data

Key Points

• This research aims to develop a nonparametric two-sample test for comparing event time distributions under interval censorship.
• Developed a nonparametric two-sample test based on empirical estimates.
• Utilized Monte Carlo simulations to evaluate the test on Weibull distributions.
• Applied the test to a real dataset from an AIDS clinical trial.
• The nonparametric test performed well in comparison with established methods in simulation studies.
• Illustrated successful application in real data analysis, indicating its practical utility.