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Re: st: Matching in STATA


From   Maarten buis <maartenbuis@yahoo.co.uk>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Matching in STATA
Date   Mon, 23 Jun 2008 12:10:36 +0100 (BST)

--- Henry <jakanyada@gmail.com> wrote:
> Salah, I am using secondary data from a primary care database. This
> contains  patient details -medical, therapy and demoraphic
> information. In this case, i guess i will have to do some matching.
> Not all patients in the database have the outcome of interest and
> thus in order to use classical logistic regression models to
> evaluate risk of outcome with exposure allowing for possible 
> conounders , we need to find controls as close to the cases as much
> as possible.

Matching techniques and `classical logistic regression' both control
for meausured confounders, and both require that the model is correctly
specified. I never understood the advantage matching/reweighting
techniques over multiple regression techniques. I got the distinct
impression that in many applied studies the matching/reweighting
technique is believed to solve much more problems than is actually the
case, though I probably have to reread (Nichols 2007) when I have time.

-- Maarten

Austin Nichols (2007) Causal inference with observational data, The
Stata Journal, 7(4): 507--541. 
http://www.stata-journal.com/article.html?article=st0136




-----------------------------------------
Maarten L. Buis
Department of Social Research Methodology
Vrije Universiteit Amsterdam
Boelelaan 1081
1081 HV Amsterdam
The Netherlands

visiting address:
Buitenveldertselaan 3 (Metropolitan), room Z434

+31 20 5986715

http://home.fsw.vu.nl/m.buis/
-----------------------------------------


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