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st: RE: summary statistics with mi multiple imputation
From
"Lachenbruch, Peter" <[email protected]>
To
"'[email protected]'" <[email protected]>
Subject
st: RE: summary statistics with mi multiple imputation
Date
Tue, 20 Jul 2010 09:40:10 -0700
Alan,
I assume you mean 20 imputations and not 20 data sets being imputed individually. I also assume that some of the background/demographic variables have missing values and you want to get good estimates of these. So...
Within the mi estimate command, you can use means for these and if you want percentiles, you can use qreg. I have a Stata Tip coming out in vol 10 #3 on this.
Tony
Peter A. Lachenbruch
Department of Public Health
Oregon State University
Corvallis, OR 97330
Phone: 541-737-3832
FAX: 541-737-4001
-----Original Message-----
From: [email protected] [mailto:[email protected]] On Behalf Of Alan Acock
Sent: Monday, July 19, 2010 2:35 PM
To: [email protected]
Subject: st: summary statistics with mi multiple imputation
When imputing 20 datasets and dong a logistic regression, I still need some descriptive statistics on background/demographic variables to describe the sample.
a. Should I report the demographic means/sd's for each variable using the original dataset and N for each variable?
b. Should I report the grand mean treating the 20 datasets as one big dataset?
c. What is the best practice? Is there a way to get confidence intervals that around the means that take the multiple imputation into account?
Perhaps I'm missing something that is quite obvious.
--Alan Acock
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