Practical use of multiple imputation to handle missing data in Stata 12

Next course: 22nd-23rd February 2012. Registration is now closed.
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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 12 using the commands mi impute chained and mi estimate
  • 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 12
  • The course would also be suitable as a refresher for people familiar with multiple imputation using ice and mim and wanting to learn about mi impute chained and mi estimate
Stata versions 11 and earlier are not appropriate as the course makes extensive use of mi impute chained which is new in Stata 12.

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Contact Kathy Airey for more details.