The Statistical Analysis with GLIMMIX Procedure training course focuses on the GLIMMIX procedure, a procedure for fitting generalized linear mixed models.
By attending Statistical Analysis with GLIMMIX Procedure workshop, delegates will learn to:
- Analyze binomial data with random effects
- Fit a Poisson regression model and a beta regression model with and without random effects
- Analyze repeated measures data with discrete outcomes
- Perform post-processing analysis
- Use the EFFECT statement to define customized model effects
- Jointly model multivariate responses with different distributions
- Deal with convergence issues
Attend the following courses or have equivalent practical experience:
This Statistical Analysis with GLIMMIX Procedure class is intended for Analysts, statisticians, and researchers