Practical use of multiple imputation to handle missing data course

MRC Biostatistics Unit, Cambridge, UK

Course aims

• Explain the problems of missing data and the need for methods such as multiple imputation
• Explain how multiple imputation works, with a focus on imputation by chained equations (ICE)
• Explain how multiply imputed data are analyzed
• Enable participants to analyze data by multiple imputation in Stata using the ice and mim commands
• Give participants an awareness of the assumptions underlying multiple imputation and of its limitations

Participants are welcome to bring their own data and problems, and one session is dedicated to “live” analysis of some participants’ data.

Target audience

• Researchers needing to analyze incomplete data (No prior knowledge of multiple imputation is assumed.

Technical requirements

• Participants be familiar with running Stata from the command line (that is, not using menus), at least to the level of fitting a regression model to complete data.
• Each participant should bring a laptop computer with Stata 10 or 11 (not version 9) installed.

Registration

Registration for this course is now open. Please see http://www.mrc-bsu.cam.ac.uk/MIcourse/ for more details and the online registration form. The closing date for registration is March 25, 2011.