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

doi:10.1002/sim.9509

	Augmented weighting estimators for the additive rates model under multivariate recurrent event data with missing event type
	Ma, Huijuan 1; Pang, Weicai 2; Sun, Liuquan 3; Xu, Wei 4
刊名	STATISTICS IN MEDICINE
	2022-06-28
页码	14
关键词	additive rates model missing at random multivariate recurrent event data Nadaraya-Watson kernel estimator weighted estimating equation
ISSN号	0277-6715
DOI	10.1002/sim.9509
英文摘要	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.
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
语种	英语
出版者	WILEY
WOS记录号	WOS:000817741100001
内容类型	期刊论文
源URL	[http://ir.amss.ac.cn/handle/2S8OKBNM/61235]
专题	中国科学院数学与系统科学研究院
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.