Date:         Thu, 6 Sep 2007 11:33:45 -0400
Reply-To:     Kevin Roland Viel <kviel@EMORY.EDU>
Sender:       "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:         Kevin Roland Viel <kviel@EMORY.EDU>
Subject:      Re: Statistics question: What does this reviewer want?
In-Reply-To:  <BAY103-F315D4B04693641AEA94D33B0C40@phx.gbl>
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> In my opinion, causality is a matter for scientists and not statisticians.
> The stats show the relationships.  The science behind the data is
> where you get the causality.


The Department of Epidemiology at Emory might just have a position for you
David!  :)

Entire chapters of epidemiology text bear that name.  Several criteria
must be met, for instance temporality.  Also, we dedicate an immense
amount of effort into confounding (or effect measure modification).


Rothman's and Greenland's "Epidemiology" is accessible and a great
introduction to this topic.  Other authors might be Hernan or Flanders,
among others.

HTH,

Kevin



Kevin Viel, PhD
Post-doctoral fellow
Department of Genetics
Southwest Foundation for Biomedical Research
San Antonio, TX 78227