Abstract
For the two-sample censored data problem, Pepe and Fleming [Pepe, M.S., Fleming, T.R., 1989. Weighted Kaplan–Meier statistics: A class of distance tests for censored survival data. Biometrics 45, 497–507] introduced the weighted Kaplan–Meier (WKM) statistics. From these statistics we define stochastic processes which can be approximated by zero-mean martingales. Conditional distributions of the processes, given data, can be easily approximated through simulation techniques. Based on comparison of these processes, we construct a supremum test to assess the model adequacy. Monte Carlo simulations are conducted to evaluate and compare the size and power properties of the proposed test to the WKM and the log-rank tests. The procedures are illustrated using real data.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
