Hi Amber,
All coefficients are used. Basically, you simulate the quantities of
interest based on each of the multiply imputed data sets and then combine
them all. This takes into account imputation uncertainty as well as usual
estimation uncertainty for each imputed data set. When setting the
indpendent variables to their means, setx() will calculate the mean using
all imputed data sets. Finally, the expected values are probabilities,
i.e., Pr(Y = 1 | X), whereas the predicted values take either 1 or 0,
i.e., Y.
Kosuke
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Kosuke Imai Office: Corwin Hall 041
Assistant Professor Phone: 609-258-6601
Department of Politics eFax: 973-556-1929
Princeton University Email: kimai(a)Princeton.Edu
Princeton, NJ 08544-1012
http://imai.princeton.edu/
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On Thu, 24 Jan 2008, Amber Wichowsky wrote:
Hello,I have estimated a logistic regression model
with Zelig using the mi
command to combine multiple imputed datasets. I understand that the summary
output is the combined result and that I can also print out individual
results by dataset. However, in calculating predicted probabilities, I am
wondering which coefficients are being used by Zelig - would these be from
the combined results? In addition, when setting the independent variables
to their means (setx command) - would this be some weighted mean of that
variable across those five datasets? Finally, could someone clarify the
difference between the expected values and the predicted values that are
given in the output.
Thank you,
Amber Wichowsky
University of Wisconsin-Madison
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