Impact of baseline covariate imbalance on bias in treatment effect estimation in cluster randomized trials: Race as an example.

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第一作者： Siyun,Yang

第一单位： Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, United States of America.

作者： Siyun,Yang ^[1] ; Monique Anderson,Starks ^[2] ; Adrian F,Hernandez ^[3] ; Elizabeth L,Turner ^[4] ; Robert M,Califf ^[3] ; Christopher M,O'Connor ^[5] ; Robert J,Mentz ^[3] ; Kingshuk,Roy Choudhury ^[1]

作者单位： Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, United States of America. ^[1] Department of Medicine, Duke University School of Medicine, Durham, NC, United States of America; Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, United States of America. Electronic address: monique.starks@duke.edu. ^[2] Department of Medicine, Duke University School of Medicine, Durham, NC, United States of America; Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, United States of America. ^[3] Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, United States of America; Duke Global Health Institute, Duke University, Durham, NC, United States of America. ^[4] Inova Heart and Vascular Institute, Falls Church, VA, United States of America. ^[5]

关键词 (MeSH terms): Bias Cluster analysis Multivariable analysis Randomized controlled trials as topic Research design

主题词聚类分析(Cluster Analysis);计算机模拟(Computer Simulation);数据说明, 统计(Data Interpretation, Statistical);人类(Humans);多元分析(Multivariate Analysis);随机对照试验(主题)(Randomized Controlled Trials as Topic);治疗结果(Treatment Outcome)

DOI 10.1016/j.cct.2019.04.016

PMID 31228563

发布时间 2024-04-03

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