This course focuses on the GLIMMIX procedure, a 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 the EFFECT statement to define customized model effects jointly model multivariate responses with different distributions deal with convergence issues.
Who should attend
Analysts, statisticians, and researchers
Before attending this course, you should have taken
- SAS Programming 1 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. Previous exposure to matrix algebra will enhance your understanding of the material.
This course addresses SAS/STAT software.
Registered students will be able to download the course materials from the Web prior to the class. These materials may include a .pdf copy of the course notes, a .pdf copy of the course workbook, and exercise files. To understand how to participate in a Live Web class and what to expect, print and review the Quick Reference (.pdf).
