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


From   "Anders Alexandersson" <andersalex@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Interpreting conditional logistic regression equations using 2 similar types of matching.
Date   Wed, 7 Feb 2007 15:11:23 -0500

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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