I think the names of these things vary by field and I don't know the term
you're using. But it sounds like you're talking about the analytical
approximation. What Clarify will do is to calculate this exactly, without
the approximation. They'll probably be close, but to the extent that they
differ, Clarify's should be better.
Gary
: Gary King, King(a)Harvard.Edu http://GKing.Harvard.Edu :
: Center for Basic Research Direct (617) 495-2027 :
: in the Social Sciences Assistant (617) 495-9271 :
: 34 Kirkland Street, Rm. 2 HU-MIT DC (617) 495-4734 :
: Harvard U, Cambridge, MA 02138 eFax (928) 832-7022 :
On Mon, 29 Jul 2002, mganz wrote:
> Hello,
>
> First let me thank you for a very nice piece of software. My question has to
> do with retransforming a logged dependent variable to the original scale. How
> do the results from Clarify compare to retranforming using the smearing
> estimate (with or without bootstrapping to get the standard error)?
>
> Thanks,
> Michael
>
> ________________________________________
> Michael Ganz, MS, PhD
> Assistant Professor
> Dept. of Maternal and Child Health
> Harvard School of Public Health
> mganz(a)hsph.harvard.edu
> http://www.hsph.harvard.edu/faculty/ganz
> Ph. 617-432-2382
> Fax 617-432-3755
>
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To whom it may concern:
I'm writing to seek help with a problem I've encountered with Clarify 2.0.
I am running three separate negative binomial regressions where the only
difference in the models are the dependent variables. In models 1 and 3 I
obtain interpretable predicted values of my DV using the simqi, prval(x)
command. However, in my second model, using the same code, I receive
predicted values that do not make sense (they are numbers in the millions
and greater) from the simqi command.
When I run the model in Stata without Clarify, Stata produces reasonable
predicted values. However, I like Clarify for its ability to hold
covariates at different levels and its SE's and CI's with the predicted
probabilities. I've used the program several times in the past and been
pleased with the output.
I appreciate any advice you might have regarding this problem.
Thanks very much,
Jennifer Victor
----------------------------------------
Jennifer Nicoll Victor
Ph.D. Candidate in Political Science
Washington University in St. Louis
E-mail: jnvictor(a)artsci.wustl.edu
Homepage: www.artsci.wustl.edu/~jnvictor
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