A class of weighted estimating equations for additive hazard models with covariates missing at random

doi:10.1007/s11425-019-1699-4

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	A class of weighted estimating equations for additive hazard models with covariates missing at random
	Jin, Jin 1,2; Ye, Peng 3; Sun, Liuquan1,2
	2021-06-14
发表期刊	SCIENCE CHINA-MATHEMATICS
ISSN	1674-7283
页码	20
摘要	Missing covariate data arise frequently in biomedical studies. In this article, we propose a class of weighted estimating equations for the additive hazard regression model when some of the covariates are missing at random. Time-specific and subject-specific weights are incorporated into the formulation of weighted estimating equations. Unified results are established for estimating selection probabilities that cover both parametric and non-parametric modeling schemes. The resulting estimators have closed forms and are shown to be consistent and asymptotically normal. Simulation studies indicate that the proposed estimators perform well for practical settings. An application to a mouse leukemia study is illustrated.
关键词	additive hazard model censored data kernel smoothing missing at random weighted estimating equation
DOI	10.1007/s11425-019-1699-4
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[11771431] ; National Natural Science Foundation of China[11690015] ; National Natural Science Foundation of China[11926341] ; National Natural Science Foundation of China[11601080] ; National Natural Science Foundation of China[11671275] ; Key Laboratory of Random Complex Structures and Data Science, Chinese Academy of Sciences[2008DP173182] ; Fundamental Research Funds for the Central Universities in University of International Business and Economics[CXTD10-09]
WOS研究方向	Mathematics
WOS类目	Mathematics, Applied ; Mathematics
WOS记录号	WOS:000661366000002
出版者	SCIENCE PRESS
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/58840
专题	应用数学研究所
通讯作者	Ye, Peng
作者单位	1.Chinese Acad Sci, Acad Math & Syst Sci, Inst Appl Math, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China 3.Univ Int Business & Econ, Sch Stat, Beijing 100029, Peoples R China
推荐引用方式 GB/T 7714	Jin, Jin,Ye, Peng,Sun, Liuquan. A class of weighted estimating equations for additive hazard models with covariates missing at random[J]. SCIENCE CHINA-MATHEMATICS,2021:20.
APA	Jin, Jin,Ye, Peng,&Sun, Liuquan.(2021).A class of weighted estimating equations for additive hazard models with covariates missing at random.SCIENCE CHINA-MATHEMATICS,20.
MLA	Jin, Jin,et al."A class of weighted estimating equations for additive hazard models with covariates missing at random".SCIENCE CHINA-MATHEMATICS (2021):20.