This presentation focuses on predicted probabilities for multilevel models for dichotomous or ordinal responses. In a three-level model, for instance with patients nested in doctors nested in hospitals, predictions for patients could be for new or existing doctors and, in the latter case, for new or existing hospitals. In a new version of gllamm, these different types of predicted probabilities can be obtained very easily. I will give examples of graphs that can be used to help interpret an estimated model. I will also introduce a little program I've written to construct 95% confidence intervals for predicted probabilities.
