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Nonparametric test for doubly interval-censored failure time data.

J Sun
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Abstract

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.

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Cohort StudiesDisease ProgressionHIV InfectionsHumansStatistics, NonparametricSurvival AnalysisTreatment FailureTreatment OutcomeUnited StatesComparative StudyJournal ArticleResearch Support, U.S. Gov't, P.H.S.

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J Sun. 2001. Nonparametric test for doubly interval-censored failure time data.. https://doi.org/10.1023/a%3A1012596731505

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