W e l c o m e
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 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.
Target audience
- 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).
Lecturers
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