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st: RE: Reconstructing the distribution from interval data


From   "David Radwin" <[email protected]>
To   <[email protected]>
Subject   st: RE: Reconstructing the distribution from interval data
Date   Wed, 8 Sep 2010 10:26:27 -0700 (PDT)

You might check this thread:

http://www.stata.com/statalist/archive/2007-09/msg00597.html

although the examples (income and patient visits) are not exactly similar.

David
--
David Radwin
Research Associate
MPR Associates, Inc.
2150 Shattuck Ave., Suite 800
Berkeley, CA 94704
Phone: 510-849-4942
Fax: 510-849-0794

www.mprinc.com


> -----Original Message-----
> From: [email protected] [mailto:owner-
> [email protected]] On Behalf Of Ronan Conroy
> Sent: Wednesday, September 08, 2010 9:25 AM
> To: statalist hsphsun2. harvard. edu
> Subject: st: Reconstructing the distribution from interval data
>
> I'm reviewing a paper in which doctors were asked how many times they
> had carried out a particular procedure in the last year. The
> questionnaire used categories, so responses looked like this:
>
> Number of  Gynaecologists Plastic
> times                     Surgeons
>
> None           17           3
> 1-5            24           34
> 5-10            0           4
> 10-20           0           1
> More than 20    0           1
>
> I am wondering how one might calculate the likeliest underlying annual
> rate for each group based on the data above.
>
> Has anyone come up against this problem and found a solution? I'd be
> very curious about the answer for practical reasons - the authors have
> data that are pretty hard to come by, and being able to calculate an
> annual rate would be very helpful indeed for future research.
>
>
>
>
> Ronán Conroy
> Associate Professor
> Division of Population Health Sciences
> =================================


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