New MI Post at SAS

I wrote a blog post for blogs.sas.com that went live yesterday. This post walks you through how to run a Bayesian regression model with a multiply imputed data set such as those produced by PROC MI. What I like about this process is that you can get started working with a Bayesian model that includes missing data even if you’re not familiar with joint modeling techniques. It’s pretty neat and allows for knowledge transfer between your frequentist and Bayesian methods.

Go over to SAS to read my article entitled “ Getting started performing a Bayesian analysis with missing data in SAS .”