Fitting Repeated Measures Data using JMP Pro®

Presenter: Don McCormack

Using Repeated Measures to Model  Correlation Structures

See how to:

  • Organize data, graph correlations, build models, compare/select the best model and test hypotheses
  • interpret statistics related to mix models
  • Understand Toeplitz, antedependent and compound symmetry (equal variances) covariance structures (new in JMP Pro 13)
  • 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 

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