Multiple Imputation Using Stata

Multiple Imputation Using Stata is a practical guide to Stata's implementation of Multiple Imputation by Chained Equations (MICE). We'll discuss issues to consider when deciding whether to use MICE, creating imputation models that will lead to valid estimates, the process of imputing, managing imputed data, and estimation using imputed data.

The material covered in this course is available online in the SSCC's Knowledge Base as the article series Multiple Imputation in Stata.

To benefit from this class you'll need a solid working knowledge of Stata usage and syntax, such as that provided by our Stata for Researchers class or article series (plus, ideally, some experience using it). You should also have a basic understanding of what multiple imputation is. The class will focus on the practical issues that arise in using multiple imputation rather than the theory behind it, though the two are, of course, linked.

Instructor: Dimond
Room: 3218
Dates: 10/10, 10/15, 10/17
This class is a series and you should plan on attending all of the sessions.
Time: 10:00 - 11:15