Nonparametric test for doubly interval-censored failure time data.
This paper considers comparison of discrete failure time distributions when the survival time of interest measures elapsed time between two related events and observations on the occurrences of both events could be interval-censored. This kind of data is often referred to as doubly interval-censored failure time data. If the occurrence of the first event defining the survival time can be exactly observed, the data are usually referred to as interval-censored data. For the comparison problem based on interval-censored failure time data, Sun (1996) proposed a nonparametric test procedure. In this paper we generalize the procedure given in Sun (1996) to doubly interval-censored data case and the generalized test is evaluated by simulations.
Sun
J
J
Department of Statistics, University of Missouri, 222 Math. Sci. Building, Columbia, MO 65211, USA. tsun@stat.missouri.edu
D015331:Cohort Studies; D018450:Disease Progression; D015658:HIV Infections / Q000188:drug therapy / Q000453:epidemiology / Q000473:pathology; D006801:Humans; D018709:Statistics, Nonparametric; D016019:Survival Analysis; D017211:Treatment Failure; D016896:Treatment Outcome; D014481:United States