Abstract
In this chapter, the logistic model is extended to handle outcome variables that have dichotomous correlated responses. The analytic approach presented for modeling this type of data is the generalized estimating equations (GEE) model, which takes into account the correlated nature of the responses. If such correlations are ignored in the modeling process, then incorrect inferences may result.
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© 2010 Springer Science+Business Media, LLC
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Kleinbaum, D.G., Klein, M. (2010). Logistic Regression for Correlated Data: GEE. In: Logistic Regression. Statistics for Biology and Health. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-1742-3_14
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DOI: https://doi.org/10.1007/978-1-4419-1742-3_14
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Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-1741-6
Online ISBN: 978-1-4419-1742-3
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