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Re: st: Missing data after multiple imputation

From   ucb_gal <>
Subject   Re: st: Missing data after multiple imputation
Date   Wed, 9 May 2007 13:39:48 -0700 (PDT)

but when i'm running regressions with -micombine- and -mim-, i get different sample sizes.  this shouldn't happen if i don't have missing data (which it seems i shouldn't have since i'm not using the first sample), right?

thanks for all your helpful answers!!!

----- Original Message ----
From: Maarten buis <>
Sent: Wednesday, May 9, 2007 12:58:53 PM
Subject: Re: st: Missing data after multiple imputation

--- ucb_gal <> wrote:
> Hi, I've run -ice- and my new imputed dataset still has missing data.
>  Is this normal?  If so, why does this happen?

Yes it is normal: -ice- stores the different datasets stacked on top of
each other. It differentiates between samples using the variable _mj.
The first sample (which is not used by -micombine- or -mim- has a value
for _mj of 0 and is just the original data, with missing values.

Hope this helps,

Maarten L. Buis
Department of Social Research Methodology
Vrije Universiteit Amsterdam
Boelelaan 1081
1081 HV Amsterdam
The Netherlands

visiting address:
Buitenveldertselaan 3 (Metropolitan), room Z434

+31 20 5986715

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