文章基本信息

标题：Performance of the Beta-Binomial Model for Clustered Binary Responses: Comparison with Generalized Estimating Equations
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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.