Longitudinal Models, GLMMs & GEE – Practice Quiz

Model repeated and non-Gaussian outcomes while keeping the inferential target clear. Compare subject-specific GLMMs with population-average GEE, interpret logistic and count models, and assess working correlations and sandwich covariance. Prerequisites: generalized linear models, random effects and clustered sampling. Longitudinal examples address time interactions, within-person associations, missingness, few clusters and individual prediction. Single-select and multiselect practice includes worked explanations and distractor rationales.

Study sources: statsmodels: Generalized Estimating Equations; Bayesian Data Analysis, Chapters 16 and 18.

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