Practical use of multiple imputation to handle missing data course
MRC Biostatistics Unit, Cambridge, UK
||April 14–15, 2011|
||Patrick Royston, Ian White, Angela Wood, and Gareth Ambler|
- 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’
- Researchers needing to analyze incomplete data
(No prior knowledge of multiple imputation is assumed.
- 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 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.