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Analysis of proportional mean residual life model with latent variables

文献类型：期刊论文

作者He, Haijin1; Cai, Jingheng2; Song, Xinyuan3,4; Sun, Liuquan5
刊名STATISTICS IN MEDICINE
出版日期2017-02-01
卷号36期号:5页码:813-826
关键词borrow-strength estimation extended estimating equations factor analysis latent variables mean residual life function proportional model
ISSN号0277-6715
DOI10.1002/sim.7174
英文摘要End-stage renal disease (ESRD) is one of the most serious diabetes complications. Numerous studies have been devoted to revealing the risk factors of the onset time of ESRD. In this article, we propose a proportional mean residual life (MRL) model with latent variables to assess the effects of observed and latent risk factors on the MRL function of ESRD in a cohort of Chinese type 2 diabetic patients. The proposed model generalizes the conventional proportional MRL model to accommodate the latent risk factor that cannot be measured by a single observed variable. We employ a factor analysis model to characterize the latent risk factors via multiple observed variables. We develop a borrow-strength estimation procedure, which incorporates the expectation-maximization algorithm and an extended estimating equation approach. The asymptotic properties of the proposed estimators are established. Simulation shows that the performance of the proposed methodology is satisfactory. The application to the study of type 2 diabetes reveals insights into the prevention of ESRD. Copyright (C) 2016 John Wiley & Sons, Ltd.
资助项目Research Grant Council of the Hong Kong Special Administration Region[14601115] ; Research Grant Council of the Hong Kong Special Administration Region[14305014] ; Chinese University of Hong Kong ; National Natural Science Foundation of China[11471277] ; National Natural Science Foundation of China[11231010] ; National Natural Science Foundation of China[11171330] ; Key Laboratory of RCSDS, CAS[2008DP173182]
WOS研究方向Mathematical & Computational Biology ; Public, Environmental & Occupational Health ; Medical Informatics ; Research & Experimental Medicine ; Mathematics
语种英语
WOS记录号WOS:000393303200007
出版者WILEY-BLACKWELL
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/24688]  
专题应用数学研究所
通讯作者Song, Xinyuan
作者单位1.Shenzhen Univ, Coll Math & Comp Sci, Shenzhen, Peoples R China
2.Sun Yat Sen Univ, Dept Stat, Guangzhou, Guangdong, Peoples R China
3.Chinese Univ Hong Kong, Shenzhen Res Inst, Hong Kong, Hong Kong, Peoples R China
4.Chinese Univ Hong Kong, Dept Stat, Hong Kong, Hong Kong, Peoples R China
5.Chinese Acad Sci, Acad Math & Syst Sci, Inst Appl Math, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 He, Haijin,Cai, Jingheng,Song, Xinyuan,et al. Analysis of proportional mean residual life model with latent variables[J]. STATISTICS IN MEDICINE,2017,36(5):813-826.
APA He, Haijin,Cai, Jingheng,Song, Xinyuan,&Sun, Liuquan.(2017).Analysis of proportional mean residual life model with latent variables.STATISTICS IN MEDICINE,36(5),813-826.
MLA He, Haijin,et al."Analysis of proportional mean residual life model with latent variables".STATISTICS IN MEDICINE 36.5(2017):813-826.

入库方式： OAI收割

来源：数学与系统科学研究院

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