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Logistic regression for correlated binary data. (English) Zbl 0825.62509

Summary: 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 preterm infants.

MSC:

62H20 Measures of association (correlation, canonical correlation, etc.)
62J99 Linear inference, regression
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