Marginal Accelerated Hazard Model with Multivariate Failure Time Data 被引量：1

Marginal Accelerated Hazard Model with Multivariate Failure Time Data

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摘要 Multivariate failure time data are frequently encountered in biomedical research.In this article,we model marginal hazards with accelerated hazards model to analyze multivariate failure time data.Estimating equations are derived analogous to generalized estimating equation method.Under certain regular conditions,the resultant estimators for the regression parameters are shown to be asymptotically normal.Furthermore,we also establish the weak convergence of estimators for the baseline cumulative hazard functions. Multivariate failure time data are frequently encountered in biomedical research.In this article,we model marginal hazards with accelerated hazards model to analyze multivariate failure time data.Estimating equations are derived analogous to generalized estimating equation method.Under certain regular conditions,the resultant estimators for the regression parameters are shown to be asymptotically normal.Furthermore,we also establish the weak convergence of estimators for the baseline cumulative hazard functions.

作者 YANG Qinglong LIU Yanyan

机构地区 School of Mathematics and Statistics

出处《Wuhan University Journal of Natural Sciences》 CAS 2012年第3期185-189,共5页 武汉大学学报（自然科学英文版）

基金 Supported by the National Natural Science Foundation of China (11171263)

关键词 multivariate failure time data marginal hazard generalized estimating equation asymptotic properties multivariate failure time data marginal hazard generalized estimating equation asymptotic properties

分类号 O212.3 [理学—概率论与数理统计]

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引证文献1

1杨青龙,郭丽莎,刘妍岩.多元失效时间数据的一般边际半参数危险率模型研究[J].数学物理学报（A辑）,2014,34(3):530-539.

1FAN JianQing,ZHOU Yong,CAI JianWen,CHEN Min.Gaining effciency via weighted estimators for multivariate failure time data[J].Science China Mathematics,2009,52(6):1113-1128.
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3QU Annie & XUE Lan 1 Department of Statisties, University of Illinois at Urbana-Champaign, IL61820, USA 2 Statisties Department, The Oregon State University, Corvallis, OR 97331-4606, USA.Discussion of Fan et al.’s paper “Gaining effciency via weighted estimators for multivariate failure time data”[J].Science China Mathematics,2009,52(6):1134-1136. 被引量：1
4Zhao Sihai Dave.A note on Optimal weights and variable selections for multivariate survival data[J].Science China Mathematics,2009,52(6):1131-1133.
5FAN JianQing, ZHOU Yong, CAI JianWen, & CHEN Min.Rejoinder for Gaining effciency via weighted estimators for multivariate failure time data[J].Science China Mathematics,2009,52(6):1137-1138.
6王志忠,朱建军.Estimation and accuracy evaluation of variance and covariance components based on more general functional model[J].中国有色金属学会会刊：英文版,2000,10(1):123-126. 被引量：1
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Wuhan University Journal of Natural Sciences

2012年第3期

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Marginal Accelerated Hazard Model with Multivariate Failure Time Data 被引量：1

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