A class of efficient non-parametric K-sample tests for multivariate counting processes with frailties

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/27975

Title:	A class of efficient non-parametric K-sample tests for multivariate counting processes with frailties
Authors:	Chang,IS;Chen,LR;Hsiung,CA
Contributors:	數學研究所
Keywords:	SURVIVAL-DATA;RANK-TESTS;MODELS
Date:	1998
Issue Date:	2010-06-29 19:39:17 (UTC+8)
Publisher:	中央大學
Abstract:	A K-sample testing problem is studied for multivariate counting professes with time-dependent frailty. Asymptotic distributions and efficiency of a class of non-parametric test statistics are established for certain local alternatives. The concept of efficiency is to show that for every non-parametric test in this class, there is a parametric submodel for which the optimal test has the same asymptotic power as the non-parametric one. The theory is applied to analyse a diabetic retinopathy study data set. A simulation study is also presented to illustrate the theory.
Relation:	SCANDINAVIAN JOURNAL OF STATISTICS
Appears in Collections:	[Graduate Institute of Mathematics] journal & Dissertation

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