An independence test for doubly censored failure time data

Jianguo Sun, Hee Jeong Lim, Xingqiu Zhao

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)


The analysis of doubly censored failure time data has recently attracted a great deal of attention and for this, a number of methods have been proposed (De Gruttola and Lagakos, 1989; Kim et al., 1993; Pan, 2001; Sun, 2004). To simplify the analysis, most of these methods make an independence assumption: the distribution of the survival time of interest is independent of the occurrence of the initial event that defines the survival time. Although it is well-known that the assumption may not be true, there does not seem to be any existing research discussing the checking of the assumption. In this article, a Wald test is developed for testing this assumption and the method is applied to an AIDS cohort study.
Original languageEnglish
Pages (from-to)503-511
Number of pages9
JournalBiometrical Journal
Issue number5
Publication statusPublished - 1 Sept 2004
Externally publishedYes


  • Estimating equation
  • Interval-censoring
  • Proportional hazards model
  • Regression analysis

ASJC Scopus subject areas

  • Statistics and Probability
  • Medicine(all)
  • Statistics, Probability and Uncertainty


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