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st: RE: beta-binomial regression, ebb.ado


From   "FEIVESON, ALAN H. (AL) (JSC-SK) (NASA)" <alan.h.feiveson@nasa.gov>
To   "'statalist@hsphsun2.harvard.edu'" <statalist@hsphsun2.harvard.edu>
Subject   st: RE: beta-binomial regression, ebb.ado
Date   Tue, 10 Aug 2004 08:08:58 -0500

Keith - I would very much like to see a built-in capacity for overdispersed
models in Stata. In fact, just yesterday, I had to write my own kluge to
estimate parameters for a set of overdispersed binomial data.

Al Feiveson

-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu]On Behalf Of Keith Dear
Sent: Monday, August 09, 2004 6:51 PM
To: statalist@hsphsun2.harvard.edu
Subject: st: beta-binomial regression, ebb.ado


Does anyone do this? It seems not to be supported by Stata. Brad Palmquist 
wrote the ebb program, but he no longer supports or provides it. It seems 
to work fine, but I am wondering:
* should I not be doing beta-binomial regression for some reason?
* should I not be using ebb.ado?
* are there other methods (models) I should be using instead?

Beta-binomial regression can be used to model over-dispersed binomial-like 
data (i.e. bounded non-negative integer).  I frequently handle such data, 
arising from psychological and psychiatric scales -- typically each subject 
is asked a number of questions (9 or 12 perhaps) and the outcome variable 
to be analysed is the count of "yes" responses. The "e" in ebb allows for 
Extension to under-dispersed data.

Thanks
Keith Dear

==========================================================
Dr Keith B.G. Dear
Senior Fellow
* Centre for Mental Health Research (CMHR)
* National Centre for Epidemiology and Popn Health (NCEPH)

The Australian National University
Canberra ACT 0200 Australia
T: +61 2 6125 4865 (NCEPH)
T: +61 2 6125 8439 (CMHR)
F: +61 2 6125 0740

CRICOS Provider #00120C
www.anu.edu.au/nceph/dear

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