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

doi:10.1002/sim.9139

	k-Resolution sequential randomization procedure to improve covariates balance in a randomized experiment
	Long, Mingya 1,2; Sun, Liuquan 1,2; Li, Qizhai 1,2
刊名	STATISTICS IN MEDICINE
	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
出版者	WILEY
WOS记录号	WOS:000673052600001
内容类型	期刊论文
源URL	[http://ir.amss.ac.cn/handle/2S8OKBNM/58920]
专题	中国科学院数学与系统科学研究院
通讯作者	Li, Qizhai
作者单位	1.Univ Chinese Acad Sci, Sch Math Sci, Beijing, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Zhongguancun East Rd 55, 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.