STAT
537
Mixed Model Methods
Fixed effects, random effects, repeated measures, nonindependent data, general covariance structures, estimation methods.
STAT 537
Students will be able to explain, apply, evaluate, and perform different implements of mixed models
Explain the Difference
Explain the difference between fixed and random effects as implemented in the mixed model
Apply Mixed Models
Appropriately apply mixed models to deal with nonindependent data and variety of covariance structures
Evaluate the Fit
Evaluate the fit of the mixed model using Choleski residuals
Perform Analyzes
Perform analyzes of mixed models using both SAS and R
Perform Bayesian Analysis
Perform full Bayesian analysis of mixed models using Bayesian software