Statistical Analysis with the GLIMMIX Procedure
This course focuses on the GLIMMIX procedure, a relatively new procedure for fitting generalized linear mixed models.
Learn how 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 ODS Graphics and the SG procedures in SAS/GRAPH
- jointly model multivariate responses with different distributions
- deal with convergence issues.
Who should attend
Analysts, statisticians, and researchers
Duration: 2 days
Before attending this course, you should have taken
- SAS Programming 1: Essentials or have equivalent SAS programming experience
- Mixed Models Analyses Using SAS or have equivalent experience analyzing linear mixed models using the MIXED procedure
- Categorical Data Analysis Using Logistic Regression or have equivalent experience analyzing categorical response data.
Introduction to Generalized Linear Mixed Models and the GLIMMIX Procedure
- introduction to generalized linear mixed models
- introduction to the GLIMMIX procedure using logistic regression with random effects
Applications Using the GLIMMIX Procedure
- Poisson regression with random effects
- an example of beta regression
- repeated measures data with discrete response
- introduction to radial smoothing (Self-Study)
Additional GLIMMIX Procedure Topics
- estimation methods used in PROC GLIMMIX
- processing models by subjects
- the FIRSTORDER adjustment to the KR degrees of freedom estimation method
- covariance matrix diagnostics
- processing models by subjects
- comparisons of the GLIMMIX procedure and the NLMIXED procedure, and the GLIMMIX procedure and the GENMOD procedure
- modeling multivariate responses
- dealing with convergence problems
Students have unlimited 24/7 access to the interactive multimedia course on the Web for one year.
The course requires only a standard Web browser and a free Flash plug-in. The course includes data
that can be downloaded, printable lesson summaries, a Quick Reference Guide, practices and solutions,
step-by-step demonstrations, and a Certificate of Completion.
This course addresses SAS/STAT.
You should
- use Internet Explorer 6.0 or later or Firefox 1.5 or later, with JavaScript and cookies enabled
- have the latest version of Macromedia Flash Player installed
- have base SAS software visible on the same machine that you are taking the training on so that you can practice your new skills in your own SAS environment.
Back to SAS Global Forum Training
