A note on obtaining correct marginal predictions from a random intercepts model for binary outcomes
A note on obtaining correct marginal predictions from a random intercepts model for binary outcomes
Clustered data with binary outcomes are often analysed using random intercepts models or generalised estimating equations (GEE) resulting in cluster-specific or 'population-average' inference, respectively. When a random effects model is fitted to clustered data, predictions may be produced for a member of an existing cluster by using estimates of the …