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Re: st: How do I drop incomplete observations after running multiple imputation?
From
"JVerkuilen (Gmail)" <[email protected]>
To
[email protected]
Subject
Re: st: How do I drop incomplete observations after running multiple imputation?
Date
Wed, 7 Nov 2012 14:32:04 -0500
On Wed, Nov 7, 2012 at 2:22 PM, Wilson, Kimberly J
<[email protected]> wrote:
> I somehow need to drop the observations from the imputed data that still contain missing data so that my sample is constant across the models. Without doing so, I have 1,854 obs in the first two models, 1841 in the third, and 1835 in the fourth. I want the sample to be 1835 across all four models.
>
> To drop the observations with missing values in the imputed data, I have tried various iterations of the following:
If it's only a few cases you want to drop, why don't you simply make a
dummy variable with those cases and drop based on that? Simple and
brute force, but it works. You can also simply use if to make for a
consistent sample without dropping those cases completely.
Jay
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