Augmented weighting estimators for the additive rates model under multivariate recurrent event data with missing event type

doi:10.1002/sim.9509

CSpace > 应用数学研究所

	Augmented weighting estimators for the additive rates model under multivariate recurrent event data with missing event type
	Ma, Huijuan 1; Pang, Weicai 2; Sun, Liuquan3 ; Xu, Wei 4
	2022-06-28
发表期刊	STATISTICS IN MEDICINE
ISSN	0277-6715
页码	14
摘要	Multivariate recurrent event data are frequently encountered in biomedical and epidemiological studies when subjects experience multiple types of recurrent events. In practice, the event type information may be missing due to a variety of reasons. In this article, we consider a semiparametric additive rates model for multivariate recurrent event data with missing event types. We develop the augmented inverse probability weighting technique to handle event types that are missing at random. The nonparametric kernel-assisted proposals for the missing mechanisms are studied. The resulting estimator is shown to be consistent and asymptotically normal. Extensive simulation studies and a real data application are provided to illustrate the validity and practical utility of the proposed method.
关键词	additive rates model missing at random multivariate recurrent event data Nadaraya-Watson kernel estimator weighted estimating equation
DOI	10.1002/sim.9509
收录类别	SCI
语种	英语
资助项目	National Key R&D Program of China[2021YFA1000100] ; National Key R&D Program of China[2021YFA1000101] ; National Natural Science Foundation of China[11901200] ; National Natural Science Foundation of China[71931004] ; National Natural Science Foundation of China[71971083] ; National Natural Science Foundation of China[11971170] ; National Natural Science Foundation of China[12171463] ; Natural Sciences and Engineering Research Council of Canada[RGPIN-2017-06672] ; Shanghai Pujiang Program[19PJ1403400] ; Fundamental Research Funds for the Central Universities
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:000817741100001
出版者	WILEY
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/61236
专题	应用数学研究所
通讯作者	Ma, Huijuan
作者单位	1.East China Normal Univ, Acad Stat & Interdisciplinary Sci, KLATASDS MOE, Shanghai, Peoples R China 2.Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai, Peoples R China 3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China 4.Univ Toronto, Dalla Lana Sch Publ Hlth, Toronto, ON, Canada
推荐引用方式 GB/T 7714	Ma, Huijuan,Pang, Weicai,Sun, Liuquan,et al. Augmented weighting estimators for the additive rates model under multivariate recurrent event data with missing event type[J]. STATISTICS IN MEDICINE,2022:14.
APA	Ma, Huijuan,Pang, Weicai,Sun, Liuquan,&Xu, Wei.(2022).Augmented weighting estimators for the additive rates model under multivariate recurrent event data with missing event type.STATISTICS IN MEDICINE,14.
MLA	Ma, Huijuan,et al."Augmented weighting estimators for the additive rates model under multivariate recurrent event data with missing event type".STATISTICS IN MEDICINE (2022):14.