ADDITIVE MEAN RESIDUAL LIFE MODEL WITH LATENT VARIABLES UNDER RIGHT CENSORING

doi:10.5705/ss.202015.0369

CSpace > 应用数学研究所

	ADDITIVE MEAN RESIDUAL LIFE MODEL WITH LATENT VARIABLES UNDER RIGHT CENSORING
	He, Haijin 1; Pan, Deng 2; Song, Xinyuan 3; Sun, Liuquan4
	2019
发表期刊	STATISTICA SINICA
ISSN	1017-0405
卷号	29 期号:1 页码:47-66
摘要	We propose a novel additive mean residual life model to examine the effects of observable and latent risk factors on the mean residual life function of interest in the presence of right censoring. We use factor analysis to characterize the latent risk factors on the basis of multiple observed variables. We develop a borrow-strength estimation procedure that incorporates an asymptotically distribution-free generalized least square method and a corrected estimating equation approach. We establish the asymptotic properties of the proposed estimators. We develop a goodness-of-fit test for model checking. We report on simulations to evaluate the finite sample performance of the method. The application to a study on chronic kidney disease for type 2 diabetic patients reveals insights into the prevention of such common diabetic complications.
关键词	Borrow-strength estimation corrected estimating equations distribution-free factor analysis latent variables mean residual life function model checking
DOI	10.5705/ss.202015.0369
语种	英语
资助项目	NSFC from the National Natural Science Foundation of China[11471277] ; NSFC from the National Natural Science Foundation of China[11231010] ; NSFC from the National Natural Science Foundation of China[11690015] ; NSFC from the National Natural Science Foundation of China[116011 71] ; NSFC from the National Natural Science Foundation of China[11701387] ; NSFC from the National Natural Science Foundation of China[11601343] ; GRF from the Research Grant Council of the HKSAR[14305014] ; GRF from the Research Grant Council of the HKSAR[14601115] ; Foundation of Shenzhen University[2016011] ; Fundamental Research Funds for the Central Universities[2016YXMS005] ; Chinese University of Hong Kong
WOS研究方向	Mathematics
WOS类目	Statistics & Probability
WOS记录号	WOS:000453741300003
出版者	STATISTICA SINICA
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/31928
专题	应用数学研究所
通讯作者	He, Haijin
作者单位	1.Shenzhen Univ, Coll Math & Stat, Shenzhen, Peoples R China 2.Huazhong Univ Sci & Technol, Sch Math & Stat, Wuhan, Hubei, Peoples R China 3.Chinese Univ Hong Kong, Dept Stat, Hong Kong, Peoples R China 4.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,Pan, Deng,Song, Xinyuan,et al. ADDITIVE MEAN RESIDUAL LIFE MODEL WITH LATENT VARIABLES UNDER RIGHT CENSORING[J]. STATISTICA SINICA,2019,29(1):47-66.
APA	He, Haijin,Pan, Deng,Song, Xinyuan,&Sun, Liuquan.(2019).ADDITIVE MEAN RESIDUAL LIFE MODEL WITH LATENT VARIABLES UNDER RIGHT CENSORING.STATISTICA SINICA,29(1),47-66.
MLA	He, Haijin,et al."ADDITIVE MEAN RESIDUAL LIFE MODEL WITH LATENT VARIABLES UNDER RIGHT CENSORING".STATISTICA SINICA 29.1(2019):47-66.