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PubMed · 8841649

A non-parametric test for interval-censored failure time data with application to AIDS studies.

J Sun
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Abstract

Interest often centres on the comparison of failure time distributions based on interval-censored failure time data such as in the work by Finkelstein, in which she proposed a score test under continuous proportional hazards model. In this article, we consider a different situation in which the underlying failure time is a discrete variable or the observed times correspond with a discrete scale. To compare failure time distributions in these situations, we propose a non-parametric test, a generalization of the usual logrank test for right-censored failure time data. Simulation results indicate that the test performs satisfactorily.

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Cohort StudiesHIV InfectionsHemophilia AHumansLogistic ModelsProportional Hazards ModelsStatistics, NonparametricTime FactorsJournal Article

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BibTeXRIS

J Sun. 1996-07-15. A non-parametric test for interval-censored failure time data with application to AIDS studies.. https://doi.org/10.1002/(sici)1097-0258(19960715)15%3A13%3C1387%3A%3Aaid-sim268%3E3.0.co%3B2-r

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