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

Socpus ID

0347019339 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0347019339

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