In this example-driven book, author Mithat Gnen illustrates there are many SAS procedures that can be tailored to produce ROC curves and expands further analysis using other SAS procedures and macros. Topics covered include: proper method for computing the action of binary, ordinal, and continuous by using the PROC freq, PROC LOGISTIC, PROC NLMIXED, and macros Comparing the ROC curves of several signs and adjust them to covariate ROC curves with censored data using ROC curves to evaluate multivariable prediction models via bootstrap curves and cross-validation of ROC in the SAS Enterprise Miner And much more! Written for each statistic are interested in learning more about the ROC curve methodology, this book assumes the reader has a basic understanding of regression procedures and moderate familiarity with Base SAS and SAS / STAT.