k-Resolution sequential randomization procedure to improve covariates balance in a randomized experiment

doi:10.1002/sim.9139

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	k-Resolution sequential randomization procedure to improve covariates balance in a randomized experiment
	Long, Mingya1,2 ; Sun, Liuquan1,2 ; Li, Qizhai1,2
	2021-07-13
发表期刊	STATISTICS IN MEDICINE
ISSN	0277-6715
页码	13
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.
关键词	asymptotic variance balancing allocation clinical complete randomization Mahalanobis distance pairwise sequential randomization rerandomization treatment effect
DOI	10.1002/sim.9139
收录类别	SCI
语种	英语
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
WOS类目	Mathematical & Computational Biology ; Public, Environmental & Occupational Health ; Medical Informatics ; Medicine, Research & Experimental ; Statistics & Probability
WOS记录号	WOS:000673052600001
出版者	WILEY
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/58921
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.