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.
CITATION STYLE
Kleinbaum, D. G., & Klein, M. (2010). Logistic Regression for Correlated Data: GEE (pp. 489–538). https://doi.org/10.1007/978-1-4419-1742-3_14
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