Statistical modelling of mixed effects in longitudinal data combines fixed parameters, representing systematic influences, with random components that account for individual‐ or cluster‐level ...

Mixed models are statistical frameworks that accommodate hierarchical or clustered data by modelling both fixed effects, which represent average relationships across all observations, and random ...

"First edition published in 2006." 1. Introduction -- What are linear mixed models (LMMs)? -- Models with random effects for clustered data -- Models for longitudinal or repeated-measures data -- A ...