STAT 537
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Mixed Model Methods
Course Description
Fixed effects, random effects, repeated measures, nonindependent data, general covariance structures, estimation methods.
When Taught
Fall
Min
3
Fixed/Max
3
Fixed
3
Fixed
0
Title
Explain Fixed vs Random Effects
Learning Outcome
Students will be able to explain the difference between fixed and random effects in the context of linear mixed models
Title
Apply Mixed Models
Learning Outcome
Students will be able to appropriately apply mixed models to deal with nonindependent data and a variety of covariance structures
Title
Evaluate Model Fit
Learning Outcome
Students will be able to evaluate the fit of the mixed model using Cholesky residuals
Title
Perform Analyses
Learning Outcome
Students will be able to perform and interpret frequentist analyses of mixed models using professional statistical software
Title
Perform Bayesian Analysis
Learning Outcome
Students will be able to perform and interpret full Bayesian analyses of mixed models using professional statistical software
Title
Seek Divine Help
Learning Outcome
Students will understand the importance of thoughtful prayer as they contemplate difficult concepts
