Title

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

Authors

Authors

Y. Zhang; W. Liu;Y. H. Zhan

Comments

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Abbreviated Journal Title

Biometrika

Keywords

asymptotic normality; failure function; interval censoring; likelihood; ratio test; Monte Carlo; nonparametric maximum pseudolikelihood; estimator; PROPORTIONAL HAZARDS MODEL; LINEAR RANK-TESTS; PANEL COUNT DATA; TIME; DATA; STATISTICAL-ANALYSIS; AIDS; REGRESSION; Biology; Mathematical & Computational Biology; Statistics & Probability

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.

Journal Title

Biometrika

Volume

88

Issue/Number

3

Publication Date

1-1-2001

Document Type

Article

Language

English

First Page

677

Last Page

686

WOS Identifier

WOS:000171536100005

ISSN

0006-3444

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