Generalized Linear Mixed Models (GLMMs) are an extension of Generalized Linear Models (GLMs) that incorporate both fixed and random effects. Fixed effects are parameters associated with entire populations or repeatable levels of experimental factors, while random effects are associated with individual experimental units drawn at random from a population. This makes GLMMs particularly useful for handling data with complex hierarchical structures or grouped observations, a common scenario in Epidemiological Studies.
