Evaluation of the type I error rate when using parametric bootstrap analysis of a cluster randomized controlled trial with binary outcomes and a small number of clusters.

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第一作者： Lilian,Golzarri-Arroyo

第一单位： Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington USA. Electronic address: lgolzarr@indiana.edu.

作者： Lilian,Golzarri-Arroyo ^[1] ; Stephanie L,Dickinson ^[2] ; Yasaman,Jamshidi-Naeini ^[2] ; Roger S,Zoh ^[2] ; Andrew W,Brown ^[3] ; Arthur H,Owora ^[2] ; Peng,Li ^[4] ; J Michael,Oakes ^[5] ; David B,Allison ^[2]

作者单位： Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington USA. Electronic address: lgolzarr@indiana.edu. ^[1] Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington USA. ^[2] Department of Applied Health Science, Indiana University School of Public Health-Bloomington USA. ^[3] School of Nursing, University of Alabama at Birmingham USA. ^[4] School of Public Health, University of Minnesota USA. ^[5]

主题词聚类分析(Cluster Analysis);计算机模拟(Computer Simulation);人类(Humans);线性模型(Linear Models);研究设计(Research Design);样本大小(Sample Size)

DOI 10.1016/j.cmpb.2022.106654

PMID 35093646

发布时间 2023-03-02

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Computer methods and programs in biomedicine

2022年215卷

106654页

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Evaluation of the type I error rate when using parametric bootstrap analysis of a cluster randomized controlled trial with binary outcomes and a small number of clusters.

Computer methods and programs in biomedicine

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Evaluation of the type I error rate when using parametric bootstrap analysis of a cluster randomized controlled trial with binary outcomes and a small number of clusters.

Computer methods and programs in biomedicine

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Computer methods and programs in biomedicine

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