k-Resolution sequential randomization procedure to improve covariates balance in a randomized experiment
文献类型：期刊论文
| 作者 | Long, Mingya1,2 ; Sun, Liuquan1,2; Li, Qizhai1,2
|
| 刊名 | STATISTICS IN MEDICINE
 |
| 出版日期 | 2021-07-13 |
| 页码 | 13 |
| 关键词 | asymptotic variance balancing allocation clinical complete randomization Mahalanobis distance pairwise sequential randomization rerandomization treatment effect |
| ISSN号 | 0277-6715 |
| DOI | 10.1002/sim.9139 |
| 英文摘要 | Balancing allocation of assigning units to two treatment groups to minimize the allocation differences is important in biomedical research. The complete randomization, rerandomization, and pairwise sequential randomization (PSR) procedures can be employed to balance the allocation. However, the first two do not allow a large number of covariates. In this article, we generalize the PSR procedure and propose a k-resolution sequential randomization (k-RSR) procedure by minimizing the Mahalanobis distance between both groups with equal group size. The proposed method can be used to achieve adequate balance and obtain a reasonable estimate of treatment effect. Compared to PSR, k-RSR is more likely to achieve the optimal value theoretically. Extensive simulation studies are conducted to show the superiorities of k-RSR and applications to the clinical synthetic data and GAW16 data further illustrate the methods. |
| 资助项目 | Beijing Natural Science Foundation[Z180006] ; National Nature Science Foundation of China[11771431] ; National Nature Science Foundation of China[11690015] |
| WOS研究方向 | Mathematical & Computational Biology ; Public, Environmental & Occupational Health ; Medical Informatics ; Research & Experimental Medicine ; Mathematics |
| 语种 | 英语 |
| WOS记录号 | WOS:000673052600001 |
| 出版者 | WILEY |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/58920]  |
| 专题 | 应用数学研究所 系统科学研究所 |
| 通讯作者 | Li, Qizhai |
| 作者单位 | 1.Chinese Acad Sci, Acad Math & Syst Sci, Zhongguancun East Rd 55, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Sch Math Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Long, Mingya,Sun, Liuquan,Li, Qizhai. k-Resolution sequential randomization procedure to improve covariates balance in a randomized experiment[J]. STATISTICS IN MEDICINE,2021:13. |
| APA | Long, Mingya,Sun, Liuquan,&Li, Qizhai.(2021).k-Resolution sequential randomization procedure to improve covariates balance in a randomized experiment.STATISTICS IN MEDICINE,13. |
| MLA | Long, Mingya,et al."k-Resolution sequential randomization procedure to improve covariates balance in a randomized experiment".STATISTICS IN MEDICINE (2021):13. |
入库方式： OAI收割
来源：数学与系统科学研究院
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