Logistic Regression for Correlated Binary Data
Copyright policy )Logistic Regression for Correlated Binary Data
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.
- Leiden University Netherlands
correlated outcomes, Measures of association (correlation, canonical correlation, etc.), Linear inference, regression, odds ratio, tetrachoric, pseudolikelihood, logistic regressions
correlated outcomes, Measures of association (correlation, canonical correlation, etc.), Linear inference, regression, odds ratio, tetrachoric, pseudolikelihood, logistic regressions
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