Multiple Imputation in Practice
Multiple Imputation in Practice
July 13, 2022
Please join as the PDHP workshop series resumes on July 13 with “Multiple Imputation in Practice”, presented by Trivellore Raghunathan (Michigan Survey Research Center; Michigan School of Public Health; Michigan/Maryland Joint Program in Survey Methodology). This half-day workshop is geared toward data analysts from all fields and of all skill levels, and will cover practical applications of multiple imputation (including various data structures and patterns of missing data, as well as analysis of imputed data arising from complex survey designs). Attendees will also receive hands on practice with multiple imputation via sequential regression multivariate imputation (commonly known as chained equations) using the IVEware software (in stand-alone form, and also as a plug-in for SAS, R, and Stata).
Topics covered:
- Definition of missing data, including patterns and mechanisms
- Multiple imputation using sequential regression multivariate imputation (AKA chained equations)
- Multiple imputation for complex survey designs and data structures
- Hands-on practice using IVEware software (stand-alone and within SAS, R, and Stata)
Video:
Workshop video (including full chat log and audio transcript) is available here.
Slides & Lab Materials:
Workshop slides (Part 1)
Workshop slides (Part 2)
Software:
The practical section of this workshop relies on IVEWare (available as a plugin for R and SAS, and as standalone software)
––IVEWare software (strongly recommended)
Additional resources:
Example code and datasets used in the workshop available here (Zip file of example materials)