|Date: ||Tue, 8 Nov 2011 12:04:12 -0500|
|Reply-To: ||"Viel, Kevin" <kviel@SJHA.ORG>|
|Sender: ||"SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>|
|From: ||"Viel, Kevin" <kviel@SJHA.ORG>|
|Subject: ||ROC: Augmenting a score|
|Content-Type: ||text/plain; charset="iso-8859-1"|
I have been provided with a small (n~160) data set with three scores, such as the Framingham Heart Score, and an outcome of interest. The initial question is whether the scores provide good assessments of the outcome. The second is whether one does a better job. This appears like a ROC analysis.
The next question is whether I might control for additional variables. However, I suspect that some of them were used to generate the scores, thus I might have collinearity. I have some reader to do, but it might seem reasonable, given the question asked, to not attempt to control for additional variables that contribute to the scores.
I would appreciate any comments. I happened to have picked up "Analzying Receiver Operating Characteristic Curves with SAS" at PharmaSUG.
Kevin Viel, PhD
Senior Research Statistician
Patient Safety & Quality
International College of Robotic Surgery
Saint Joseph's Translational Research Institute
Saint Joseph's Hospital
5671 Peachtree Dunwoody Road, NE, Suite 330
Atlanta, GA 30342
(678) 843-6076: Direct Phone
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