Generalized linear mixed models (GLMMs) are a type of statistical model that can handle complex data with random effects and covariates. They are useful for analyzing correlated data that may not follow a normal distribution. GLMMs allow for more flexible modeling compared to traditional methods like generalized estimating equations.