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st: Course: Practical use of Multiple Imputation to Handle Missing Data in Stata
From
"Morris, Tim" <[email protected]>
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"[email protected]" <[email protected]>
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.
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