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A class of weighted estimating equations for additive hazard models with covariates missing at random
Jin, Jin1,2; Ye, Peng3; Sun, Liuquan1,2
2021-06-14
Source PublicationSCIENCE CHINA-MATHEMATICS
ISSN1674-7283
Pages20
AbstractMissing 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.
Keywordadditive hazard model censored data kernel smoothing missing at random weighted estimating equation
DOI10.1007/s11425-019-1699-4
Indexed BySCI
Language英语
Funding ProjectNational 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 Research AreaMathematics
WOS SubjectMathematics, Applied ; Mathematics
WOS IDWOS:000661366000002
PublisherSCIENCE PRESS
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/58840
Collection应用数学研究所
Corresponding AuthorYe, Peng
Affiliation1.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
Recommended Citation
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.
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