Maureen
If you use the default link function (log) for the negative binomial, all
you have to do is exponentiate the x beta hat or to make adjusted
predictions in the usual way. The negative binomial is estimating the
log(E(y|x)), which is more appropriate for mean comparisons than the
E(log(y|x)) that OLS on log(y is estimating.
Will
At 05:09 PM 3/25/2003 -0500, you wrote:
I am running a negative binomial model simulating the effect of changes in
right-hand side variables on the predicted count of the outcome. There is
a well documented transformation problem with log OLS models. Are there
any transformation issues associated with analyzing predicted counts from
the negative binomial model? If so, do you have any do files or concrete
suggestions for handling this problem?
Thank you,
Maureen Stewart
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Willard G. Manning
Professor
Dept. of Health Studies -- MC 2007
The University of Chicago
5841 So. Maryland Ave.
Chicago, IL 60637
Phone: 773-834-1971 (direct)
773-702-2453 (department)
Fax: 773-702-1979
E-mail: [email protected]
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