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RE: st: Interpreting conditional logistic regression equations using 2 similar types of matching.


From   "Donald Spady" <dspady@ualberta.ca>
To   <statalist@hsphsun2.harvard.edu>
Subject   RE: st: Interpreting conditional logistic regression equations using 2 similar types of matching.
Date   Thu, 8 Feb 2007 14:47:46 -0700

Thank you all for your comments.  I think I have a better handle on the
situation now.
Don Spady

-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Anders
Alexandersson
Sent: February 7, 2007 1:11 PM
To: statalist@hsphsun2.harvard.edu
Subject: Re: st: Interpreting conditional logistic regression equations
using 2 similar types of matching.

Donald Spady <dspady@ualberta.ca> wrote:
> The problem is that if we match loosely on age (within 3 months) as
> opposed to a tight match (1 month) we get different results and I am
> unsure which result is 'best'.

According to Fox News, whatever that means, the report should be "fair
and balanced". More serious, it is fair to report both results. Weigh
more balance (more matching of treatment and control variables)
against the number of observations. Are some observations
theoretically more relevant to your study? More observations are not
always better.

There are several "matching" or "robust" solutions in Stata. I would
also consider the R program MatchIt, see the paper and software at
http://gking.harvard.edu/matchit/.

Anders
andersalex@gmail.com
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