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Mixture proportional hazards cure model with latent variables
He, Haijin1; Han, Dongxiao2,3; Song, Xinyuan4; Sun, Liuquan5
2021-09-15
发表期刊STATISTICS IN MEDICINE
ISSN0277-6715
页码15
摘要A mixture proportional hazards cure model with latent variables is proposed. The proposed model assesses the effects of the observed and latent risk factors on the hazards of uncured subjects and the cure rate through a proportional hazards model and a logistic model, respectively. Factor analysis is employed to measure the latent variables through correlated multiple indicators. Maximum likelihood estimation is performed through a Gaussian quadratic technique that approximates the integration over the latent variables. A piecewise constant function is used for the unspecified baseline hazard of uncured subjects. The proposed method can be conveniently implemented by using SAS Proc NLMIXED. Simulation studies are conducted to evaluate the performance of the proposed approach. An application to a study concerning the risk factors of chronic kidney disease for type 2 diabetic patients is provided.
关键词cure model factor analysis latent variables logistic regression proportional hazards model
DOI10.1002/sim.9200
收录类别SCI
语种英语
资助项目Fundamental Research Funds for the Central Universities, Nankai University[9920200110] ; National Natural Science Foundation of China (NSFC)[11701387] ; Natural Science Foundation of Guangdong Province of China[2019A1515011917] ; Natural Science Foundation of Shenzhen[JCYJ20190808173603590] ; Research Grant Council of the HKSAR[14301918] ; Research Grant Council of the HKSAR[14302519] ; Chinese University of Hong Kong ; NSFC[11771431] ; NSFC[11690015] ; Key Laboratory of RCSDS, CAS[2008DP173182]
WOS研究方向Mathematical & Computational Biology ; Public, Environmental & Occupational Health ; Medical Informatics ; Research & Experimental Medicine ; Mathematics
WOS类目Mathematical & Computational Biology ; Public, Environmental & Occupational Health ; Medical Informatics ; Medicine, Research & Experimental ; Statistics & Probability
WOS记录号WOS:000696099200001
出版者WILEY
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/59261
专题应用数学研究所
通讯作者Han, Dongxiao
作者单位1.Shenzhen Univ, Coll Math & Stat, Shenzhen, Peoples R China
2.Nankai Univ, Sch Stat & Data Sci, LPMC, Tianjin, Peoples R China
3.Nankai Univ, KLMDASR, Tianjin, Peoples R China
4.Chinese Univ Hong Kong, Dept Stat, 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,Han, Dongxiao,Song, Xinyuan,et al. Mixture proportional hazards cure model with latent variables[J]. STATISTICS IN MEDICINE,2021:15.
APA He, Haijin,Han, Dongxiao,Song, Xinyuan,&Sun, Liuquan.(2021).Mixture proportional hazards cure model with latent variables.STATISTICS IN MEDICINE,15.
MLA He, Haijin,et al."Mixture proportional hazards cure model with latent variables".STATISTICS IN MEDICINE (2021):15.
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