aclassofboxcoxtransformationmodelsforrecurrenteventdatawithaterminalevent
Zhou Jie2; Zhu Jun1; Sun Liu Quan1
刊名actamathematicasinicaenglishseries
2017
卷号33期号:8页码:1048
ISSN号1439-8516
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.
语种英语
内容类型期刊论文
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/39433]  
专题中国科学院数学与系统科学研究院
作者单位1.中国科学院数学与系统科学研究院
2.首都师范大学
推荐引用方式
GB/T 7714
Zhou Jie,Zhu Jun,Sun Liu Quan. aclassofboxcoxtransformationmodelsforrecurrenteventdatawithaterminalevent[J]. actamathematicasinicaenglishseries,2017,33(8):1048.
APA Zhou Jie,Zhu Jun,&Sun Liu Quan.(2017).aclassofboxcoxtransformationmodelsforrecurrenteventdatawithaterminalevent.actamathematicasinicaenglishseries,33(8),1048.
MLA Zhou Jie,et al."aclassofboxcoxtransformationmodelsforrecurrenteventdatawithaterminalevent".actamathematicasinicaenglishseries 33.8(2017):1048.
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