Addressing outliers in mixed-effects logistic regression: a more robust modeling approach
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This study introduces an outlier-robust model for analyzing hierarchically structured bounded count data within a Bayesian framework, utilizing a logistic regression approach implemented in JAGS. Our model incorporates a t-distributed latent variable to addres... ...
