Ask the Expert Webinar Series

PROC BGLIMM: The Smooth Transition to Bayesian Analysis

On-Demand (Originally presented: Sept. 18) | Cost: Complimentary

About the 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.

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About the expert

Danny Modlin

Senior Analytical Training Consultant, SAS

Danny has been a SAS training consultant since April 2011. Prior to SAS, he taught at the middle school and high school levels. He also served as a teaching assistant at the University of North Carolina at Wilmington and NC State University. Danny holds a Bachelor of Science in mathematics from Elon College, a Master of Mathematics from UNCW, and a Master of Statistics from NC State.

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