title: A non-parametric test for interval-censored failure time data with application to AIDS studies.
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.
authors.affiliation: Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA.
authors.forename: J
authors.initials: J
authors.lastname: Sun
mesh_terms: D015331:Cohort Studies; D015658:HIV Infections / Q000453:epidemiology* / Q000209:etiology; D006467:Hemophilia A / Q000150:complications*; D006801:Humans; D016015:Logistic Models; D016016:Proportional Hazards Models; D018709:Statistics, Nonparametric; D013997:Time Factors