Wed, Mar 18
|Webinar
PROC BGLIMM: The Smooth Transition to Bayesian Analysis by Danny Modlin
Would you like to transition your models to the Bayesian realm? We can help. This webinar will feature the BGLIMM procedure, allowing you to model non-normal responses and include random effects within the Bayesian approach.
Time & Location
Mar 18, 2026, 12:00 PM – 1:00 PM EDT
Webinar
Would you like to transition your models to the Bayesian realm? We can help. This webinar will feature the BGLIMM procedure, allowing you to model non-normal responses and include random effects within the Bayesian approach. Examples of models originally written in multiple procedures will be showcased.
You will:
• Discover the difference between using PROC MCMC and PROC BGLIMM for Bayesian analysis.
• Explore the diagnostic output provided for Bayesian analysis.
• Determine how a Bayesian approach to analysis can be helpful.
Danny Modlin, SAS
Sr Analytical Training Consultant
Danny Modlin has been a Training Consultant at SAS since April 2011. Before SAS, Danny was a teacher in middle school, high school, as well as Teaching Assistant at the University of North Carolina at Wilmington and North Carolina State University. Danny has a Bachelors of Science in Mathematics from Elon College, a Masters of Mathematics from UNCW, and a Masters of Statistics from NCSU.