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Re: st: st: Working With MI to Impute Missing Data monotone?
From
Joerg Luedicke <[email protected]>
To
[email protected]
Subject
Re: st: st: Working With MI to Impute Missing Data monotone?
Date
Thu, 21 Apr 2011 17:30:20 -0400
On Thu, Apr 21, 2011 at 5:19 PM, Clifton Chow
<[email protected]> wrote:
> Dear List,
>
> I have a survey of 60 items in which each item has, on average, 10-20% missing. In fulfilling the intent-to-treat model for a study in which cohorts have been randomly assigned to an experimental and treatment condition, I need to impute using MI. I am wondering if someone is familiar with stata's MI impute technique and can tell me how I can determine if I have monotone missing pattern?
>
Have a look at -misstable- or specifically -misstable patterns-. With
these commands, you can conveniently find out about patterns of
missing values in your data.
J.
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