Variable selection in competing risks models based on quantile regression

doi:10.1002/sim.8326

	Variable selection in competing risks models based on quantile regression
	Li, Erqian ; Tian, Maozai; Tang, Man-Lai
	2019-07-29
发表期刊	STATISTICS IN MEDICINE
卷号	38 期号:23 页码:4670-4685
摘要	The proportional subdistribution hazard regression model has been widely used by clinical researchers for analyzing competing risks data. It is well known that quantile regression provides a more comprehensive alternative to model how covariates influence not only the location but also the entire conditional distribution. In this paper, we develop variable selection procedures based on penalized estimating equations for competing risks quantile regression. Asymptotic properties of the proposed estimators including consistency and oracle properties are established. Monte Carlo simulation studies are conducted, confirming that the proposed methods are efficient. A bone marrow transplant data set is analyzed to demonstrate our methodologies.
关键词	competing risks penalized estimating equation quantile regression variable selection
DOI	10.1002/sim.8326
收录类别	SCI ; SCOPUS ; SCIE
ISSN	0277-6715
语种	英语
WOS研究方向	Mathematical & Computational Biology ; Public, Environmental & Occupational Health ; Medical Informatics ; Research & Experimental Medicine ; Mathematics
WOS类目	Mathematical & Computational Biology ; Public, Environmental & Occupational Health ; Medical Informatics ; Medicine, Research & Experimental ; Statistics & Probability
WOS记录号	WOS:000479527400001
出版者	WILEY
原始文献类型	Article
EISSN	1097-0258
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/10621
专题	统计与数据科学学院
作者单位	1.Renmin Univ China, Dept Stat, Beijing, Peoples R China; 2.Lanzhou Univ Finance & Econ, Sch Stat, Lanzhou, Gansu, Peoples R China; 3.Xinjiang Univ Finance, Sch Stat & Informat, Xinjiang, Peoples R China; 4.Hang Seng Univ Hong Kong, Dept Math & Stat, Hong Kong, Peoples R China
推荐引用方式 GB/T 7714	Li, Erqian,Tian, Maozai,Tang, Man-Lai. Variable selection in competing risks models based on quantile regression[J]. STATISTICS IN MEDICINE,2019,38(23):4670-4685.
APA	Li, Erqian,Tian, Maozai,&Tang, Man-Lai.(2019).Variable selection in competing risks models based on quantile regression.STATISTICS IN MEDICINE,38(23),4670-4685.
MLA	Li, Erqian,et al."Variable selection in competing risks models based on quantile regression".STATISTICS IN MEDICINE 38.23(2019):4670-4685.

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