LOGISTIC-REGRESSION FOR CORRELATED BINARY DATA

The modelling of correlated binary outcomes, in such a way that the ma rginal response probabilities are still logistic, is considered. Diffe rent association measures for the dependence between correlated observ ations are discussed. For paired correlated data the full likelihood c an be evaluated; for an arbitrary number of correlated observations a pseudolikelihood approach to obtain parameter estimates is proposed. T he results are illustrated on data from a Dutch follow-up study on pre term infants.