Interval censored (IC) failure time data are often observed in medical follow-up studies and clinical trials where subjects can only be followed periodically, and the failure time can only be known to lie in an interval. In this paper, we propose a weighted Wilcoxon-type rank test for the problem of comparing two IC samples. Under a very general sampling technique developed by Fay (1999), the mean and variance of the test statistics under the null hypothesis can be derived. Through simulation studies, we find that the performance of the proposed test is better than that of the two existing Wilcoxon-type rank tests proposed by Mantel (1967) and R. Peto and J. Peto (1972). The proposed test is illustrated by means of an example involving patients in AIDS cohort studies.

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ic samples aids cohort studies sampling technique clinical trials failure time data weighted wilcoxontype rank test medical followup studies

Ching-fu Shen,Jin-long Huang,Chin-san Lee,.Weighted Wilcoxon-Type Rank Test for Interval Censored Data. 2013 (),.

Ching-fu Shen,Jin-long Huang,Chin-san Lee,"Weighted Wilcoxon-Type Rank Test for Interval Censored Data" 2013

Ching-fu Shen,Jin-long Huang,Chin-san Lee,"Weighted Wilcoxon-Type Rank Test for Interval Censored Data"