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Re: st: st: Working With mi impute mvn for missing data
From
Nick Cox <[email protected]>
To
[email protected]
Subject
Re: st: st: Working With mi impute mvn for missing data
Date
Tue, 26 Apr 2011 00:34:00 +0100
The t-test is a special case of regression. No need to re-invent the
wheel. This was the subject of a recent thread.
Nick
On Mon, Apr 25, 2011 at 11:24 PM, Clifton Chow
<[email protected]> wrote:
> Dear List,
>
> I have a dataset with 7 ordinal variables of interest that are MAR (Missing at Random) but NOT monotone. I am proceeding with imputation using mi impute mvn VARLIST method with Add (9). The result I get is 9 imputations of my 7 variables of interest from observation that are missing on those variables. I need to determine if the mean average on those variables differ significantly for two cohorts, but while there is mi estimates regress there is no apparent mi estimates ttest. Should I average the means of all 9 imputations and conduct the traditional ttest?
>
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