See how to:

• Use repeated measures to model correlation structures
• Organize data, graph correlations, build models, compare/select the best model and test hypotheses
• Interpret statistics related to mix models
• Understand Toeplitz, ante-dependent and compound symmetry (equal variances) covariance structures 
• Deploy AR(1) model that assumes degradation rate constancy over time
• Deploy Toeplitz model that has different degradation rates for different time periods
• Deploy random coefficients (random intercept/random slope) models to model random effects
• Interpret Repeated Effects Covariance Parameter Estimates
• Compare models

Resources 

• Journal, Add-In and files from original presentation at JMP Discovery Summit 2017