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st: st: Working With mi impute mvn for missing data
From
"Clifton Chow" <[email protected]>
To
[email protected]
Subject
st: st: Working With mi impute mvn for missing data
Date
Mon, 25 Apr 2011 17:24:23 -0500
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?
Does anyone have any other suggestion?
Many thanks!
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