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  • 标题:Performance of the Beta-Binomial Model for Clustered Binary Responses: Comparison with Generalized Estimating Equations
  • 本地全文:下载
  • 作者:Seongah Im
  • 期刊名称:Journal of Modern Applied Statistical Methods
  • 出版年度:2020
  • 卷号:19
  • 期号:1
  • 语种:English
  • 出版社:Wayne State University
  • 摘要:This study examined performance of the beta-binomial model in comparison with GEE using clustered binary responses resulting in non-normal outcomes. Monte Carlo simulations were performed under varying intracluster correlations and sample sizes. The results showed that the beta-binomial model performed better for small sample, while GEE performed well under large sample.
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