PRACTICAL USE OF MULTIPLE IMPUTATION TO HANDLE MISSING DATA
MRC BIOSTATISTICS UNIT, CAMBRIDGE
14-15 April 2011
Lecturers: Patrick Royston, Ian White and Angela Wood.
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.
* 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 analysed
* Enable participants to analyse 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.
We welcome participants bringing their own data and problems, and one
session is dedicated to "live" analysis of some participants' data.
* Researchers needing to analyse incomplete data
* Should be familiar with running Stata from the command line (i.e.
not using menus) at least to the level of fitting a regression
model to complete data
* No prior knowledge of multiple imputation is assumed
* Participants should bring their own laptop computer with Stata
version 10 or 11 (not version 9).
Public sector £200
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