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| From | "Morris, Tim" <tim.morris@ucl.ac.uk> |
| To | "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |
| Subject | st: Course: Practical use of Multiple Imputation to Handle Missing Data in Stata |
| Date | Wed, 15 Jan 2014 15:52:22 +0000 |
Course: Practical use of Multiple Imputation to Handle Missing Data in Stata Monday 24th - Tuesday 25th February 2014 at the MRC Biostatistics Unit, Cambridge Lecturers: Ian White, Angela Wood, Tim Morris 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 or 13 using the commands -mi impute chained- and -mi estimate- . Give participants an awareness of the assumptions underlying multiple imputation and of its limitations. More details and registration: http://www.mrc-bsu.cam.ac.uk/MIcourse/ Participants will need to bring a laptop running Stata version 12 or 13. * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/