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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>
Content-Type: text/plain; charset="us-ascii"

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.


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