Asymptotics on semiparametric analysis of multivariate failure time data under the additive hazards model

被引：0
|
作者：
Liu H.-B. [1 ]
Sun L.-Q. [2 ]
Zhu L.-X. [2 ,3 ]
机构：
[1] Department of Mathematics, Huanggang Normal University
[2] Acad. of Math. and Systems Sciences, Chinese Academy of Sciences
[3] University of Hong Kong, Hong Kong
来源：
Acta Mathematicae Applicatae Sinica | 2005年 / 21卷 / 2期
基金：
中国国家自然科学基金;
关键词：
Additive hazards model; Cesoring estimating euation; Multivariate failure times; Score test; Wald test;
D O I：
10.1007/s10255-005-0232-0
中图分类号：
学科分类号：
摘要：
Many survival studies record the times to two or more distinct failures on each subject. The failures may be events of different natures or may be repetitions of the same kind of event. In this article, we consider the regression analysis of such multivariate failure time data under the additive hazards model. Simple weighted estimating functions for the regression parameters are proposed, and asymptotic distribution theory of the resulting estimators are derived. In addition, a class of generalized Wald and generalized score statistics for hypothesis testing and model selection are presented, and the asymptotic properties of these statistics are examined. © Springer-Verlag 2005.
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收藏
页码：237 / 246
页数：9
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