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Illustrative Logistic Regression Examples using PROC ...

Paper SP03-2009 Illustrative Logistic Regression Examples using PROC Logistic : New Features in SAS/STAT Robert G. Downer, Grand Valley State University, Allendale, MI Patrick J. Richardson, Van Andel Research Institute, Grand Rapids, MI ABSTRACT PROC Logistic has many useful features for model selection and the understanding of fitted models. The standard generated output will give valuable insight into important information such as significant variables and odds ratio confidence intervals. However, proper utilization of output files, graphical displays and relevant options can further enhance justification of model choice and understanding of model fit.

sensitivity). These pairs constitute the Receiver Operating Characteristic (ROC) curve. Points far above the 45 degree line are desirable and one hopes to have this curve rise as quickly as possible from the origin. The 45 degree line in the unit square would correspond to an area under the curve (AUC) of 0.5

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