Exploring Generalized Estimating Equations (GEE)

This chapter explores the application and limitations of Generalized Estimating Equations (GEE) within various statistical contexts, contrasting it with multi-level modeling approaches. It emphasizes the importance of understanding the underlying assumptions and challenges associated with these models, particularly in biostatistics and social sciences. The speakers engage in a light-hearted discussion about the practicality of GEE, advocating for a clear understanding of data characteristics to guide analytical choices.