Tag: LMM

Mixed effects models (also known as multilevel models, hierarchical models, or mixed models) are statistical models that incorporate both fixed effects and random effects. They are specifically designed to handle data where observations are not independent, but rather clustered, nested, or hierarchical. If running a standard Ordinary Least Squares (OLS) regression, a core assumption is…