Title
A Nonparametric Two-Sample Test Of The Failure Function With Interval Censoring Case 2
Keywords
Asymptotic normality; Failure function; Interval censoring; Likelihood ratio test; Monte Carlo; Nonparametric maximum pseudolikelihood estimator
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. ©2001 Biometrika Trust.
Publication Date
1-1-2001
Publication Title
Biometrika
Volume
88
Issue
3
Number of Pages
677-686
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1093/biomet/88.3.677
Copyright Status
Unknown
Socpus ID
0347019339 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0347019339
STARS Citation
Zhang, Ying; Liu, Wei; and Zhan, Yihui, "A Nonparametric Two-Sample Test Of The Failure Function With Interval Censoring Case 2" (2001). Scopus Export 2000s. 411.
https://stars.library.ucf.edu/scopus2000/411