Generalized log-rank tests for partly interval-censored failure time data

Xingqiu Zhao, Qiang Zhao, Jainguo Sun, Jong S. Kim

Research output: Journal article publicationJournal articleAcademic researchpeer-review

40 Citations (Scopus)


In this paper, we consider incomplete survival data: partly interval-censored failure time data where observed data include both exact and interval-censored observations on the survival time of interest. We present a class of generalized log-rank tests for this type of survival data and establish their asymptotic properties. The method is evaluated using simulation studies and illustrated by a set of real data from a diabetes study. KGaA.
Original languageEnglish
Pages (from-to)375-385
Number of pages11
JournalBiometrical Journal
Issue number3
Publication statusPublished - 1 Jun 2008
Externally publishedYes


  • Asymptotic distribution
  • Empirical process
  • Log-rank test
  • Partial interval-censoring
  • Survival comparison

ASJC Scopus subject areas

  • Statistics and Probability
  • General Medicine
  • Statistics, Probability and Uncertainty


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