Date:         Wed, 7 Oct 2009 15:00:40 -0700
Reply-To:     Dennis Fisher <dfisher@CSULB.EDU>
Sender:       "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:         Dennis Fisher <dfisher@CSULB.EDU>
Subject:      Re: ROC plots - cut-off points
Comments: To: Haris <karovaldas@GMAIL.COM>
In-Reply-To:  <4c5d0406-49e0-4d51-b31d-24f90294773c@p23g2000vbl.googlegroups.com>
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There is also a macro that was a poster at the SUGI that was at San Antonio
presented by people from Eli Lilly that is really good for this.  See the
proceedings from that SUGI.  HTH
Dennis

Dennis G. Fisher, Ph.D.
Professor and Director
Center for Behavioral Research and Services
California State University, Long Beach
1090 Atlantic Avenue
Long Beach, CA 90813
tel: 562-495-2330 x121
fax: 562-983-1421
http://www.csulb.edu/centers/cbrs


-----Original Message-----
From: SAS(r) Discussion [mailto:SAS-L@LISTSERV.UGA.EDU] On Behalf Of Haris
Sent: Wednesday, October 07, 2009 2:45 PM
To: SAS-L@LISTSERV.UGA.EDU
Subject: Re: ROC plots - cut-off points

See SAS help documentation on OUTROC data set.  You will need to merge
it with the model probabilities to get the actual predictor values.
There's also a ROCPLOT macro on SAS website which allows you to show
the cut-off values on the ROC plot.