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st: Poisson regression with score/scale as DV


From   Clinton Thompson <clintonjthompson@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   st: Poisson regression with score/scale as DV
Date   Tue, 3 Apr 2012 09:58:37 +0200

Hello All,

Based on Austin Nichol's July 2010 presentation on use of Poisson for
non-negative skewed variables
(http://www.stata.com/meeting/boston10/boston10_nichols.pdf) as well
as Bill Gould's Stata blog post about the same
(http://blog.stata.com/2011/08/22/use-poisson-rather-than-regress-tell-a-friend/),
I'm considering Poisson for a problem I have, albeit the dependent
variable is different enough from their examples that I'm unsure
whether Poisson is entirely appropriate.  In my problem, the DV is a
"score" assigned to each subject based on their responses to several
component (ordinal scaled) questions.  This variable is bound between
zero and 27 and the distribution of responses is decidedly non-normal
(pile-up of responses at the zero value).  Any thoughts on whether
Poisson is still a good candidate or should I be considering other
approaches?  And if Poisson is not the right way to go, any advice on
how to model this DV?

I'm using Stata/SE 11.2 for Windows.

Many Thanks,
Clint Thompson
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