Download e-book for iPad: Analyzing Receiver Operating Characteristic Curves with SAS by Mithat Gonen

By Mithat Gonen

As a diagnostic decision-making instrument, receiver working attribute (ROC) curves offer a complete and visually beautiful option to summarize the accuracy of predictions. they're used largely in scientific analysis and more and more in fields comparable to facts mining, credits scoring, climate forecasting, and psychometry. In interpreting Receiver working attribute Curves with SAS, writer Mithat Gonen illustrates the numerous present SAS techniques that may be adapted to provide ROC curves and expands upon extra analyses utilizing different SAS systems and macros. either parametric and nonparametric equipment for studying ROC curves are lined in detail.

Topics addressed include:

  • Appropriate tools 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 company Miner
  • And more!

Written for any statistician drawn to studying extra approximately ROC curve technique, the publication assumes readers have a simple figuring out of regression strategies and reasonable familiarity with Base SAS and SAS/STAT. a few familiarity with SAS/GRAPH is beneficial yet now not essential.

This publication is a part of the SAS Press program.

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Analyzing Receiver Operating Characteristic Curves with SAS (Sas Press Series) by Mithat Gonen


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