A nonparametric two-sample test of the failure function with interval censoring case 2
A nonparametric two-sample test of the failure function with interval censoring case 2
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 study is used to illustrate the new test.
asymptotic normality, failure function, interval censoring, likelihood ratio test, monte carlo, nonparametric maximum pseudolikelihood estimator
677-686
Zhang, Ying
a1a5b530-992a-41b3-94d8-043590122036
Liu, Wei
b64150aa-d935-4209-804d-24c1b97e024a
Zhan, Yihui
1dee9c59-fd17-420b-bc27-2c21590f2219
2001
Zhang, Ying
a1a5b530-992a-41b3-94d8-043590122036
Liu, Wei
b64150aa-d935-4209-804d-24c1b97e024a
Zhan, Yihui
1dee9c59-fd17-420b-bc27-2c21590f2219
Zhang, Ying, Liu, Wei and Zhan, Yihui
(2001)
A nonparametric two-sample test of the failure function with interval censoring case 2.
Biometrika, 88 (3), .
(doi:10.1093/biomet/88.3.677).
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 study is used to illustrate the new test.
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Published date: 2001
Keywords:
asymptotic normality, failure function, interval censoring, likelihood ratio test, monte carlo, nonparametric maximum pseudolikelihood estimator
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Statistics
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Local EPrints ID: 30106
URI: http://eprints.soton.ac.uk/id/eprint/30106
ISSN: 0006-3444
PURE UUID: bec9bc6b-daaa-4f3d-8cb6-ebc9c56e6c8c
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Date deposited: 12 May 2006
Last modified: 16 Mar 2024 02:42
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Author:
Ying Zhang
Author:
Yihui Zhan
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