KMS Of Academy of mathematics and systems sciences, CAS
| Variable selection for a mark-specific additive hazards model using the adaptive LASSO | |
Han, Dongxiao1,2; Qu, Lianqiang3; Sun, Liuquan4,5 ; Sun, Yanqing6
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| 2021-07-15 | |
| Source Publication | STATISTICAL METHODS IN MEDICAL RESEARCH
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| ISSN | 0962-2802 |
| Pages | 15 |
| Abstract | In HIV vaccine efficacy trials, mark-specific hazards models have important applications and can be used to evaluate the strain-specific vaccine efficacy. Additive hazards models have been widely used in practice, especially when continuous covariates are present. In this article, we conduct variable selection for a mark-specific additive hazards model. The proposed method is based on an estimating equation with the first derivative of the adaptive LASSO penalty function. The asymptotic properties of the resulting estimators are established. The finite sample behavior of the proposed estimators is evaluated through simulation studies, and an application to a dataset from the first HIV vaccine efficacy trial is provided. |
| Keyword | Adaptive LASSO additive hazards model competing risks continuous mark mark-specific vaccine effects survival data |
| DOI | 10.1177/09622802211023957 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | Fundamental Research Funds for the Central Universities, Nankai University[9920200110] ; National Natural Science Foundation of China[12001219] ; National Natural Science Foundation of China[11771431] ; National Natural Science Foundation of China[11690015] ; Hubei Natural Science Foundation of China[2018CFB256] ; Key Laboratory of RCSDS, CAS[2008DP173182] ; NIAID NIH[R37AI054165] ; National Science Foundation[DMS1915829] |
| WOS Research Area | Health Care Sciences & Services ; Mathematical & Computational Biology ; Medical Informatics ; Mathematics |
| WOS Subject | Health Care Sciences & Services ; Mathematical & Computational Biology ; Medical Informatics ; Statistics & Probability |
| WOS ID | WOS:000680111700001 |
| Publisher | SAGE PUBLICATIONS LTD |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/59018 |
| Collection | 应用数学研究所 |
| Corresponding Author | Sun, Liuquan |
| Affiliation | 1.Nankai Univ, LPMC, Sch Stat & Data Sci, Tianjin, Peoples R China 2.Nankai Univ, KLMDASR, Tianjin, Peoples R China 3.Cent China Normal Univ, Sch Math & Stat, Hubei, Peoples R China 4.Chinese Acad Sci, Acad Math & Syst Sci, Inst Appl Math, Beijing, Peoples R China 5.Guangzhou Univ, Sch Econ & Stat, Guangzhou, Peoples R China 6.Univ N Carolina, Dept Math & Stat, Charlotte, NC USA |
| Recommended Citation GB/T 7714 | Han, Dongxiao,Qu, Lianqiang,Sun, Liuquan,et al. Variable selection for a mark-specific additive hazards model using the adaptive LASSO[J]. STATISTICAL METHODS IN MEDICAL RESEARCH,2021:15. |
| APA | Han, Dongxiao,Qu, Lianqiang,Sun, Liuquan,&Sun, Yanqing.(2021).Variable selection for a mark-specific additive hazards model using the adaptive LASSO.STATISTICAL METHODS IN MEDICAL RESEARCH,15. |
| MLA | Han, Dongxiao,et al."Variable selection for a mark-specific additive hazards model using the adaptive LASSO".STATISTICAL METHODS IN MEDICAL RESEARCH (2021):15. |
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