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Logistic mixed-effects model analysis with pseudo-observations for estimating risk ratios in clustered binary data analysis
2025-06-27
epidemiology
Title + abstract only
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Logistic mixed-effects model has been a standard multivariate analysis method for analyzing clustered binary outcome data, e.g., longitudinal studies, clustered randomized trials, and multi-center/regional studies. However, the resultant odds ratio estimator cannot be directly interpreted as an effect measure, and it is only interpreted as an approximation of the risk ratio estimator when the frequency of events is small. In this article, we propose a new statistical analysis method that enables...
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