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A class of accelerated means regression models for recurrent event data

文献类型：期刊论文

作者Sun, Liuquan; Su, Bin
刊名LIFETIME DATA ANALYSIS
出版日期2008-09-01
卷号14期号:3页码:357-375
关键词counting process marginal model model checking semiparametric model recurrent events
ISSN号1380-7870
DOI10.1007/s10985-008-9087-z
英文摘要In this article, we propose a general class of accelerated means regression models for recurrent event data. The class includes the proportional means model, the accelerated failure time model and the accelerated rates model as special cases. The new model offers great flexibility in formulating the effects of covariates on the mean functions of counting processes while leaving the stochastic structure completely unspecified. For the inference on the model parameters, estimating equation approaches are developed and both large and final sample properties of the proposed estimators are established. In addition, some graphical and numerical procedures are presented for model checking. An illustration with multiple-infection data from a clinic study on chronic granulomatous disease is also provided.
WOS研究方向Mathematics
语种英语
WOS记录号WOS:000257211200007
出版者SPRINGER
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/5472]  
专题应用数学研究所
通讯作者Sun, Liuquan
作者单位Chinese Acad Sci, Acad Math & Syst Sci, Inst Appl Math, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714		 Sun, Liuquan,Su, Bin. A class of accelerated means regression models for recurrent event data[J]. LIFETIME DATA ANALYSIS,2008,14(3):357-375.
APA Sun, Liuquan,&Su, Bin.(2008).A class of accelerated means regression models for recurrent event data.LIFETIME DATA ANALYSIS,14(3),357-375.
MLA Sun, Liuquan,et al."A class of accelerated means regression models for recurrent event data".LIFETIME DATA ANALYSIS 14.3(2008):357-375.

入库方式： OAI收割

来源：数学与系统科学研究院

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