including mixed-effects linear regression, mixed-effects logistic regression for nominal or ordinal outcomes, mixed-effects probit regression for ordinal outcomes, mixed-effects Poisson regression, and mixed-effects grouped-time survival analysis.These models are also called multilevel models, hierarchical linear models, random-effects models, and random coefficients models, to name a few.