Estimation in varying-coefficient proportional hazard regression model
Wang, Qihua; Yao, Lili
刊名METRIKA
2006-12-01
卷号64期号:3页码:271-288
关键词proportional hazard regression weighted partial likelihood strong consistency asymptotic normality Primary 62G05 Secondary 62E20
ISSN号0026-1335
DOI10.1007/s00184-006-0048-9
英文摘要In this paper, varying coefficient proportional hazard regression models are considered. The model is an important extension of the Cox model, and arises naturally if the coefficients change over different groups characterized by certain covariates in practice. Under random censorship, weighted partial likelihood estimators are defined for the varying coefficients by maximizing weighted partial likelihoods. It is shown that the proposed estimators are consistent and asymptotically normal.
WOS研究方向Mathematics
语种英语
出版者PHYSICA-VERLAG GMBH & CO
WOS记录号WOS:000241380000002
内容类型期刊论文
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/3690]  
专题应用数学研究所
通讯作者Wang, Qihua
作者单位1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China
2.Univ Hong Kong, Dept Stat & Actuarial Sci, Hong Kong, Hong Kong, Peoples R China
推荐引用方式
GB/T 7714
Wang, Qihua,Yao, Lili. Estimation in varying-coefficient proportional hazard regression model[J]. METRIKA,2006,64(3):271-288.
APA Wang, Qihua,&Yao, Lili.(2006).Estimation in varying-coefficient proportional hazard regression model.METRIKA,64(3),271-288.
MLA Wang, Qihua,et al."Estimation in varying-coefficient proportional hazard regression model".METRIKA 64.3(2006):271-288.
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