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A class of accelerated means regression models for recurrent event data
Sun, Liuquan; Su, Bin
2008-09-01
发表期刊LIFETIME DATA ANALYSIS
ISSN1380-7870
卷号14期号:3页码:357-375
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.
关键词counting process marginal model model checking semiparametric model recurrent events
DOI10.1007/s10985-008-9087-z
语种英语
WOS研究方向Mathematics
WOS类目Mathematics, Interdisciplinary Applications ; Statistics & Probability
WOS记录号WOS:000257211200007
出版者SPRINGER
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/5473
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
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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.
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