By Mithat Gonen

As a diagnostic decision-making instrument, receiver working attribute (ROC) curves offer a accomplished and visually appealing method to summarize the accuracy of predictions. they're used greatly in clinical prognosis and more and more in fields similar to info mining, credits scoring, climate forecasting, and psychometry. In reading Receiver working attribute Curves with SAS, writer Mithat Gonen illustrates the various present SAS methods that may be adapted to supply ROC curves and expands upon extra analyses utilizing different SAS tactics and macros. either parametric and nonparametric tools for examining ROC curves are lined in detail.

Topics addressed include:

  • Appropriate equipment for binary, ordinal, and non-stop measures
  • Computations utilizing PROC FREQ, PROC LOGISTIC, PROC NLMIXED, and macros
  • Comparing the ROC curves of a number of markers and adjusting them for covariates
  • ROC curves with censored data
  • Using the ROC curve for comparing multivariable prediction types through bootstrap and cross-validation
  • ROC curves in SAS firm Miner
  • And more!

Written for any statistician drawn to studying extra approximately ROC curve technique, the ebook assumes readers have a easy figuring out of regression approaches and average familiarity with Base SAS and SAS/STAT. a few familiarity with SAS/GRAPH is beneficial yet no longer essential.

This booklet is a part of the SAS Press program.

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