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

    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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