Logistic Regression for Correlated Binary Data

S. le Cessie and J. C. van Houwelingen

Journal of the Royal Statistical Society Series C, 1994, vol. 43, issue 1, 95-108

Abstract: The modelling of correlated binary outcomes, in such a way that the marginal response probabilities are still logistic, is considered. Different association measures for the dependence between correlated observations are discussed. For paired correlated data the full likelihood can be evaluated; for an arbitrary number of correlated observations a pseudolikelihood approach to obtain parameter estimates is proposed. The results are illustrated on data from a Dutch follow‐up study on preterm infants.

Date: 1994
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