STAT 537
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Mixed Model Methods
Statistics
College of Computational, Mathematical & Physical Sciences
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 the Difference
Learning Outcome
Explain the difference between fixed and random effects as implemented in the mixed model
Title
Perform Analyzes
Learning Outcome
Perform analyzes of mixed models using both SAS and R
Title
Evaluate the Fit
Learning Outcome
Evaluate the fit of the mixed model using Choleski residuals
Title
Apply Mixed Models
Learning Outcome
Appropriately apply mixed models to deal with nonindependent data and variety of covariance structures
Title
Perform Bayesian Analysis
Learning Outcome
Perform full Bayesian analysis of mixed models using Bayesian software
Title
STAT 537
Learning Outcome
Students will be able to explain, apply, evaluate, and perform different implements of mixed models
