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RE: st: Re: psmatch2 question
From
"David Radwin" <[email protected]>
To
<[email protected]>
Subject
RE: st: Re: psmatch2 question
Date
Thu, 26 Aug 2010 14:13:42 -0700 (PDT)
Nick's point is well taken. However, for those Statalisters who do not
have access to a particular scholarly journal article, it is often
possible to quickly find a publicly available version of it using Google
Scholar, http://scholar.google.com/.
In this instance, for example, searching for the author's name and the
title brings up two pre-publication drafts:
http://scholar.google.com/scholar?cluster=14006871690994070416&hl=en&as_sd
t=2000 . While not necessarily identical to the published version, drafts
like these may be good enough for most purposes.
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 Nick Cox
> Sent: Thursday, August 26, 2010 7:26 AM
> To: '[email protected]'
> Subject: RE: st: Re: psmatch2 question
>
> I agree with Tony's endorsement; indeed I recommended this paper in
> December:
>
> http://www.stata.com/statalist/archive/2009-12/msg00384.html
>
> But I don't think Tony is quite right. I think you can access the full
> paper at that website only by virtue of a personal or institutional
> subscription. IMS universal access does seem to apply to papers about to
> be published, but is withdrawn once papers are formally published.
>
> Nick
> [email protected]
>
> Lachenbruch, Peter
>
> 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
>
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