KMS Of Academy of mathematics and systems sciences, CAS
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 Publication | SCIENCE CHINA-MATHEMATICS
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ISSN | 1674-7283 |
Pages | 20 |
Abstract | 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. |
Keyword | additive hazard model censored data kernel smoothing missing at random weighted estimating equation |
DOI | 10.1007/s11425-019-1699-4 |
Indexed By | SCI |
Language | 英语 |
Funding Project | 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 Research Area | Mathematics |
WOS Subject | Mathematics, Applied ; Mathematics |
WOS ID | WOS:000661366000002 |
Publisher | SCIENCE PRESS |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/58840 |
Collection | 应用数学研究所 |
Corresponding Author | Ye, Peng |
Affiliation | 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 |
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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