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Re: st: Using Multiple Imputation in a very large dataset

From   Raquel Rangel de Meireles Guimarães <>
Subject   Re: st: Using Multiple Imputation in a very large dataset
Date   Fri, 03 Jun 2011 13:18:10 -0300

Em 03/06/2011 13:02, Maarten Buis escreveu:
Doing a 1000 imputations is probably overkill. The recommended number
of imputations used to be 5. This number has increased a bit, but 20
imputations should be more than enough for most applications.

Dear Maarten,

Thank you very much for replying! If I understood well, add() will give to me only 20 observation imputed, right? That's why I set the maximum:

help mi impute

add(#) specifies the number of imputations to add to mi data.  This
        option is required if there are no imputations in the data.  If
        imputations exist, then add() is optional.  The total number of
        imputations cannot exceed 1,000.

I mean, the add function is to set the number of replications or the number of data imputed?

Thank you again and I apologize for this beginner question.

Kind regards,


Raquel Rangel de Meireles Guimarães
Professora Substituta do Departamento de Demografia, UFMG
Doutoranda em Demografia
Cedeplar - Centro de Desenvolvimento e Planejamento Regional
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