Generalized estimating equations (GEEs) are a statistical method used to estimate parameters in models for correlated data, particularly in the context of longitudinal and clustered data. GEEs extend generalized linear models by providing a way to account for the correlation between observations within clusters, which is crucial when analyzing data from designs like cluster randomized trials. They allow researchers to make valid inferences when dealing with non-independence in the data.
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