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.
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