A comparison of some two-sample tests with interval censored data

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Interval censored data arise naturally in large scale panel studies where subjects can only be followed periodically and the event of interest can only be observed between some time intervals. Peto and Peto's rank invariant tests, including the logrank test and their generalized Wilcoxon test, of comparing two survival curves for right censored data can be applied to interval censored data. Simulation studies are conducted to assess and compare their performance, along with that of Mantel's test and Petroni and Wolfe's IWD test. It seems that the logrank test is most sensitive to detect late differences of two distributions while the generalized Wilcoxon test works best in distinguishing early differences. Mantel's test seems to lie between them. The methods are illustrated by reanalyzing the Breast Cosmesis Study dataset.

Original languageEnglish (US)
Pages (from-to)133-146
Number of pages14
JournalJournal of Nonparametric Statistics
Volume12
Issue number1
DOIs
StatePublished - 1999

Bibliographical note

Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.

Keywords

  • IWD test
  • NPMLE
  • Permutation tests
  • Rank invariant tests
  • Simulation

Fingerprint Dive into the research topics of 'A comparison of some two-sample tests with interval censored data'. Together they form a unique fingerprint.

Cite this