KMS Of Academy of mathematics and systems sciences, CAS
| Mixture proportional hazards cure model with latent variables | |
He, Haijin1; Han, Dongxiao2,3; Song, Xinyuan4; Sun, Liuquan5
| |
| 2021-09-15 | |
| Source Publication | STATISTICS IN MEDICINE
 |
| ISSN | 0277-6715 |
| Pages | 15 |
| Abstract | 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. |
| Keyword | cure model factor analysis latent variables logistic regression proportional hazards model |
| DOI | 10.1002/sim.9200 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | 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 Research Area | Mathematical & Computational Biology ; Public, Environmental & Occupational Health ; Medical Informatics ; Research & Experimental Medicine ; Mathematics |
| WOS Subject | Mathematical & Computational Biology ; Public, Environmental & Occupational Health ; Medical Informatics ; Medicine, Research & Experimental ; Statistics & Probability |
| WOS ID | WOS:000696099200001 |
| Publisher | WILEY |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/59261 |
| Collection | 应用数学研究所 |
| Corresponding Author | Han, Dongxiao |
| Affiliation | 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 |
| Recommended Citation 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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