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Re: st: RE: Reconstructing the distribution from interval data


From   Ronan Conroy <rconroy@rcsi.ie>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   Re: st: RE: Reconstructing the distribution from interval data
Date   Thu, 9 Sep 2010 10:48:58 +0100

On 8 MFómh 2010, at 19:34, Austin Nichols wrote:

The ML approach seems preferable; for income data, see e.g.
http://fmwww.bc.edu/repec/bocode/g/gbgfit.html
and if you assume a family of distributions for #procedures
(Poisson, maybe?), you can estimate those parameters the same way.


Good point! A colleague has also pointed out that one frequency is known exactly: the number of physicians who did no procedures. This allows the calculation of a Poisson parameter. Calculating the expected frequencies within each of the categories allows some measure of goodness of fit.


Ronán Conroy
Associate Professor
Division of Population Health Sciences
=================================

rconroy@rcsi.ie
Royal College of Surgeons in Ireland
Epidemiology Department,
Beaux Lane House, Dublin 2, Ireland
+353 (0)1 402 2431
+353 (0)87 799 97 95
+353 (0)1 402 2764 (Fax - remember them?)
http://rcsi.academia.edu/RonanConroy

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