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RE: st: Re: psmatch2 question


From   "Lachenbruch, Peter" <Peter.Lachenbruch@oregonstate.edu>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   RE: st: Re: psmatch2 question
Date   Wed, 25 Aug 2010 13:35:10 -0700

Since there has been a great deal of interest in matching lately, there is a neat article in Statistical Science, v. 25 #1 by Elizabeth A Stuart entitled Matching Methods for Causal Inference: A Review and a Look Forward.  The IMS makes everything available on line so you can get it from http://www.imstat.org/publications/eaccess.htm 
Tony

________________________________________
From: owner-statalist@hsphsun2.harvard.edu [owner-statalist@hsphsun2.harvard.edu] On Behalf Of anna bargagliotti [abargag@yahoo.com]
Sent: Tuesday, August 24, 2010 4:23 PM
To: statalist@hsphsun2.harvard.edu
Subject: Re: st: Re: psmatch2 question

Thank you for your insights about bootstrapping.  I wiill try adjusting  your
code to my situation to reproduce the T-stat and compute the p-value.

I am, however, still confused about two very simple things:
1.  What is the T-stat for the ATT actually telling us?  Is this the T-stat for
the comparison of treatment vs control matched groups?
2.  How do we determine if there is a treatment effect?





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