A Wald-based goodness-of-fit test for mixed-effects logistic regression with random slopes that uses within-cluster grouping by predicted probabilities and a data-driven group count rule to ensure validity in sparse settings.
Modelling the regional variability of the probability of high trihalomethane occurrence in municipal drinking water.Environ Monit Assess
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A Goodness-of-Fit Test for Mixed-Effects Logistic Regression
A Wald-based goodness-of-fit test for mixed-effects logistic regression with random slopes that uses within-cluster grouping by predicted probabilities and a data-driven group count rule to ensure validity in sparse settings.