Missing data is common in real-world data, but popular procedures for handling missing data may be difficult to use, only work for certain types of models, and/or produce biased estimates under certain conditions.
In this workshop, you will learn how to use Blimp, an easy-to-use program that uses Bayesian estimation for missing data. Blimp is freely available at https://www.appliedmissingdata.com/.
Topics will include missing data mechanisms, an introduction to Bayesian statistics, model specification in Blimp, and assessing model fit and convergence. Ample time will be spent working on in-class exercises.
We will take a one-hour lunch break around noon.
Instructor: Struck
Room: 3218 Sewell Social Sciences Building
Date: 6/18
Time: 9:00 - 4:00