Pseudo-likelihood for case-cohort studies under length-biased sampling

doi:10.1080/03610926.2014.983613

CORC > 上海财经大学 > 上海财经大学

	Pseudo-likelihood for case-cohort studies under length-biased sampling
	Ma, Huijuan 1; Zhou, Yong 2,3
刊名	COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
	2017
卷号	46 期号:1 页码:28-48
关键词	Case-cohort design Length-biased sampling Proportional hazards Pseudo-likelihood
ISSN号	0361-0926
DOI	10.1080/03610926.2014.983613
英文摘要	A case-cohort design was proposed by Prentice (1986) in order to reduce costs. It involves the collection of covariate data from all subjects who experience the event of interest, and from the members of a random subcohort. This case-cohort design has been extensively studied, but is exclusively considered for right-censored data. In this article, we propose case-cohort designs adapted to length-biased data under the proportional hazards assumption. A pseudo-likelihood procedure is described for estimating parameters and the corresponding cumulative hazard function. The large sample properties, such as consistency and weak convergence, for such pseudo-likelihood estimators are presented. We also conduct simulation studies to show that the proposed estimators are appropriate for practical use. A real Oscar Awards data is provided.
WOS研究方向	Mathematics
语种	英语
出版者	TAYLOR & FRANCIS INC
WOS记录号	WOS:000385548000004
内容类型	期刊论文
源URL	[http://10.2.47.112/handle/2XS4QKH4/1137]
专题	上海财经大学
通讯作者	Ma, Huijuan
作者单位	1.Emory Univ, Dept Biostat & Bioinformat, Atlanta, GA 30322 USA; 2.Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai, Peoples R China; 3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Ma, Huijuan,Zhou, Yong. Pseudo-likelihood for case-cohort studies under length-biased sampling[J]. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS,2017,46(1):28-48.
APA	Ma, Huijuan,&Zhou, Yong.(2017).Pseudo-likelihood for case-cohort studies under length-biased sampling.COMMUNICATIONS IN STATISTICS-THEORY AND METHODS,46(1),28-48.
MLA	Ma, Huijuan,et al."Pseudo-likelihood for case-cohort studies under length-biased sampling".COMMUNICATIONS IN STATISTICS-THEORY AND METHODS 46.1(2017):28-48.