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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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