A nonparametric two-sample test of the failure function with interval censoring case 2

Ying Zhang, Wei Liu, Yihui Zhan

Research output: Contribution to journalArticle

19 Scopus citations

Abstract

For the setting of interval censoring case 2, a nonparametric two-sample test, based on a smooth functional of the nonparametric maximum pseudolikelihood estimator, is developed to compare the failure functions of two populations. Monte Carlo simulation studies on Weibull distributions show that this test performs quite well in many situations in comparison with the parametric likelihood ratio test. A real dataset from an HIV study is used to illustrate the new test.

Original languageEnglish (US)
Pages (from-to)677-686
Number of pages10
JournalBiometrika
Volume88
Issue number3
DOIs
StatePublished - Jan 1 2001
Externally publishedYes

Keywords

  • Asymptotic normality
  • Failure function
  • Interval censoring
  • Likelihood ratio test
  • Monte Carlo
  • Nonparametric maximum pseudolikelihood estimator

ASJC Scopus subject areas

  • Statistics and Probability
  • Mathematics(all)
  • Agricultural and Biological Sciences (miscellaneous)
  • Agricultural and Biological Sciences(all)
  • Statistics, Probability and Uncertainty
  • Applied Mathematics

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