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

Jianguo Sun, Qiang Zhao, Xingqiu Zhao

Research output: Journal article publicationJournal articleAcademic researchpeer-review

48 Citations (Scopus)

Abstract

Several non-parametric test procedures have been proposed for incomplete survival data: interval-censored failure time data. However, most of them have unknown asymptotic properties with heuristically derived and/or complicated variance estimation. This article presents a class of generalized log-rank tests for this type of survival data and establishes their asymptotics. The methods are evaluated using simulation studies and illustrated by a set of real data from a cancer study. Published by Blackwell Publishing Ltd.
Original languageEnglish
Pages (from-to)49-57
Number of pages9
JournalScandinavian Journal of Statistics
Volume32
Issue number1
DOIs
Publication statusPublished - 1 Jan 2005
Externally publishedYes

Keywords

  • Asymptotic distribution
  • Clinical trials
  • Interval-censoring
  • Log-rank test
  • Survival comparison

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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