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A Class of Box-Cox Transformation Models for Recurrent Event Data with a Terminal Event

文献类型：期刊论文

作者Zhou, Jie1; Zhu, Jun2; Sun, Liu Quan2
刊名ACTA MATHEMATICA SINICA-ENGLISH SERIES
出版日期2017-08-01
卷号33期号:8页码:1048-1060
关键词Marginal rate model Box-Cox transformation partial-score function terminal event
ISSN号1439-8516
DOI10.1007/s10114-017-6221-4
英文摘要In this article, we study a class of Box-Cox transformation models for recurrent event data in the presence of terminal event, which includes the proportional means models as special cases. Estimating equation approaches and the inverse probability weighting technique are used for estimation of the regression parameters. The asymptotic properties of the resulting estimators are established. The finite sample behavior of the proposed methods is examined through simulation studies, and an application to a heart failure study is presented to illustrate the proposed method.
资助项目National Natural Science Foundation of China[11301355] ; National Natural Science Foundation of China[11671275] ; National Natural Science Foundation of China[11231010] ; National Natural Science Foundation of China[11690015] ; Key Laboratory of RCSDS, CAS[2008DP173182] ; BCMIIS
WOS研究方向Mathematics
语种英语
WOS记录号WOS:000404898000003
出版者SPRINGER HEIDELBERG
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/25946]  
专题应用数学研究所
通讯作者Zhou, Jie
作者单位1.Capital Normal Univ, Sch Math, Beijing 100048, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Inst Appl Math, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Zhou, Jie,Zhu, Jun,Sun, Liu Quan. A Class of Box-Cox Transformation Models for Recurrent Event Data with a Terminal Event[J]. ACTA MATHEMATICA SINICA-ENGLISH SERIES,2017,33(8):1048-1060.
APA Zhou, Jie,Zhu, Jun,&Sun, Liu Quan.(2017).A Class of Box-Cox Transformation Models for Recurrent Event Data with a Terminal Event.ACTA MATHEMATICA SINICA-ENGLISH SERIES,33(8),1048-1060.
MLA Zhou, Jie,et al."A Class of Box-Cox Transformation Models for Recurrent Event Data with a Terminal Event".ACTA MATHEMATICA SINICA-ENGLISH SERIES 33.8(2017):1048-1060.

入库方式： OAI收割

来源：数学与系统科学研究院

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