A random effects model, also known as a hierarchical or mixed-effects model, is a statistical technique that accounts for variability at multiple levels. This model is particularly useful when data are collected from various groups or clusters, such as different hospitals, geographic regions, or demographic subgroups. The random effects model considers both fixed effects, which are consistent across all groups, and random effects, which vary between groups.
