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

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      Statistics in medicine
      Wiley

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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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          Author and article information

          Journal
          Stat Med
          Statistics in medicine
          Wiley
          0277-6715
          0277-6715
          Jul 15 1996
          : 15
          : 13
          Affiliations
          [1 ] Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA.
          Article
          10.1002/(SICI)1097-0258(19960715)15:13<1387::AID-SIM268>3.0.CO;2-R
          10.1002/(SICI)1097-0258(19960715)15:13<1387::AID-SIM268>3.0.CO;2-R
          8841649
          204b43fe-1324-4e30-8f82-afc5152ce19f
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