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Re: st: RE: Reconstructing the distribution from interval data
From
Ronan Conroy <[email protected]>
To
"[email protected]" <[email protected]>
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
=================================
[email protected]
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
P Before printing, think about the environment
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