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

文献类型：期刊论文

作者Jin, Jin2,3; Ye, Peng1; Sun, Liuquan2,3
刊名SCIENCE CHINA-MATHEMATICS
出版日期2021-06-14
页码20
关键词additive hazard model censored data kernel smoothing missing at random weighted estimating equation
ISSN号1674-7283
DOI10.1007/s11425-019-1699-4
英文摘要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.
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
语种英语
WOS记录号WOS:000661366000002
出版者SCIENCE PRESS
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/58839]  
专题应用数学研究所
通讯作者Ye, Peng
作者单位1.Univ Int Business & Econ, Sch Stat, Beijing 100029, Peoples R China
2.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Acad Math & Syst Sci, Inst Appl Math, Beijing 100190, 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.

入库方式： OAI收割

来源：数学与系统科学研究院

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