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Fine-Gray proportional subdistribution hazards model for competing risks data under length-biased sampling
Zhang, Feipeng1; Peng, Heng2; Zhou, Yong3,4
2019
发表期刊STATISTICS AND ITS INTERFACE
ISSN1938-7989
卷号12期号:1页码:107-122
摘要In this paper, we study the Fine-Gray proportional sub-distribution hazards model for the competing risks data under length-biased sampling. To exploit the special structure of length-biased sampling, we propose an unbiased estimating equation estimator, which can handle both covariate-independent censoring and the covariate-dependent censoring. The large sample properties of the proposed estimator are derived, model-checking techniques for the model adequacy are developed, and the pointwise confidence intervals and the simultaneous confidence bands for the predicted cumulative incidence functions are also constructed. Simulation studies are conducted to assess the finite sample performance of the proposed estimator. An application to the employment data illustrates the method and theory.
关键词Competing risks data Length-biased sampling Fine-Gray model Model checking techniques
语种英语
资助项目National Natural Science Foundation of China[11771133] ; National Natural Science Foundation of China[11401194] ; CEGR grant of the Research Grants Council of Hong Kong[HKBU 12302615] ; CEGR grant of the Research Grants Council of Hong Kong[HKBU 12303618] ; FRG grants from Hong Kong Baptist University[FRG2/16-17/042] ; Natural Science Foundation of Hunan Province, China[2017JJ3021] ; State Key Program of National Natural Science Foundation of China[71331006] ; State Key Program in the Major Research Plan of National Natural Science Foundation of China[91546202]
WOS研究方向Mathematical & Computational Biology ; Mathematics
WOS类目Mathematical & Computational Biology ; Mathematics, Interdisciplinary Applications
WOS记录号WOS:000460758600010
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/33463
专题应用数学研究所
通讯作者Peng, Heng
作者单位1.Hunan Normal Univ, Sch Math & Stat, Changsha 410081, Hunan, Peoples R China
2.Hong Kong Baptist Univ, Dept Math, Hong Kong, Peoples R China
3.East China Normal Univ, Sch Stat, Shanghai 200241, Peoples R China
4.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
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Zhang, Feipeng,Peng, Heng,Zhou, Yong. Fine-Gray proportional subdistribution hazards model for competing risks data under length-biased sampling[J]. STATISTICS AND ITS INTERFACE,2019,12(1):107-122.
APA Zhang, Feipeng,Peng, Heng,&Zhou, Yong.(2019).Fine-Gray proportional subdistribution hazards model for competing risks data under length-biased sampling.STATISTICS AND ITS INTERFACE,12(1),107-122.
MLA Zhang, Feipeng,et al."Fine-Gray proportional subdistribution hazards model for competing risks data under length-biased sampling".STATISTICS AND ITS INTERFACE 12.1(2019):107-122.
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