Semiparametric transformation models with length-biased and right-censored data under the case-cohort design

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	Semiparametric transformation models with length-biased and right-censored data under the case-cohort design
	Ma, Huijuan 1; Qiu, Zhiping 2; Zhou, Yong3,4
	2016
发表期刊	STATISTICS AND ITS INTERFACE
ISSN	1938-7989
卷号	9 期号:2 页码:213-222
摘要	Case-cohort designs provide a cost effective way in large cohort studies. Semiparametric transformation models, which include the proportional hazards model and the proportional odds model as special cases, are considered here for length-biased right-censored data under case-cohort design. Weighted estimating equations, which can be used even when the censoring variables are dependent of the covariates, are proposed for simultaneous estimation of the regression parameters and the transformation function. The resulting regression estimators are shown to be asymptotically normal with a closed form of variance-covariance matrix and can be estimated by the plug-in method. Simulation studies show that the proposed approach performs well for practical use. An application to the Oscar data is also given to illustrate the methodology.
关键词	Case-cohort design Length biased and right-censored data Mean zero process Transformation model Weighted estimating equation
语种	英语
资助项目	National Institutes of Health[R01 HL113548] ; Natural Science Foundation of Fujian Province, China[2015J01583] ; National Natural Science Foundation of China (NSFC)[71271128] ; State Key Program of National Natural Science Foundation of China[71331006] ; NCMIS ; Key Laboratory of RCSDS, CAS ; Shanghai University of Finance and Economics[211] ; Shanghai First-class Discipline A ; IRTSHUFE, PCSIRT[IRT13077]
WOS研究方向	Mathematical & Computational Biology ; Mathematics
WOS类目	Mathematical & Computational Biology ; Mathematics, Interdisciplinary Applications
WOS记录号	WOS:000371192600008
出版者	INT PRESS BOSTON, INC
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/22176
专题	应用数学研究所
通讯作者	Ma, Huijuan
作者单位	1.Emory Univ, Dept Biostat & Bioinformat, Atlanta, GA 30322 USA 2.Huaqiao Univ, Sch Math Sci, Quanzhou 362021, Fujian, Peoples R China 3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China 4.Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai 200433, Peoples R China
推荐引用方式 GB/T 7714	Ma, Huijuan,Qiu, Zhiping,Zhou, Yong. Semiparametric transformation models with length-biased and right-censored data under the case-cohort design[J]. STATISTICS AND ITS INTERFACE,2016,9(2):213-222.
APA	Ma, Huijuan,Qiu, Zhiping,&Zhou, Yong.(2016).Semiparametric transformation models with length-biased and right-censored data under the case-cohort design.STATISTICS AND ITS INTERFACE,9(2),213-222.
MLA	Ma, Huijuan,et al."Semiparametric transformation models with length-biased and right-censored data under the case-cohort design".STATISTICS AND ITS INTERFACE 9.2(2016):213-222.