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Analyzing Receiver Operating Characteristic Curves with SAS
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Analyzing Receiver Operating Characteristic Curves with SAS Paperback - 2007 - 1st Edition

by Mithat Gonen

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From the publisher

As a diagnostic decision-making tool, receiver operating characteristic (ROC) curves provide a comprehensive and visually attractive way to summarize the accuracy of predictions. They are used extensively in medical diagnosis and increasingly in fields such as data mining, credit scoring, weather forecasting, and psychometry. In Analyzing Receiver Operating Characteristic Curves with SAS, author Mithat Gonen illustrates the many existing SAS procedures that can be tailored to produce ROC curves and expands upon further analyses using other SAS procedures and macros. Both parametric and nonparametric methods for analyzing ROC curves are covered in detail.

Topics addressed include:

  • Appropriate methods for binary, ordinal, and continuous measures
  • Computations using PROC FREQ, PROC LOGISTIC, PROC NLMIXED, and macros
  • Comparing the ROC curves of several markers and adjusting them for covariates
  • ROC curves with censored data
  • Using the ROC curve for evaluating multivariable prediction models via bootstrap and cross-validation
  • ROC curves in SAS Enterprise Miner
  • And more!

Written for any statistician interested in learning more about ROC curve methodology, the book assumes readers have a basic understanding of regression procedures and moderate familiarity with Base SAS and SAS/STAT. Some familiarity with SAS/GRAPH is helpful but not essential.

This book is part of the SAS Press program.

Details

  • Title Analyzing Receiver Operating Characteristic Curves with SAS
  • Author Mithat Gonen
  • Binding Paperback
  • Edition number 1st
  • Edition 1
  • Pages 134
  • Volumes 1
  • Language ENG
  • Publisher SAS Institute
  • Publication date 2007-10
  • ISBN 9781599942988 / 1599942984
  • Weight 0.8 lbs (0.36 kg)
  • Dimensions 10.93 x 8.43 x 0.31 in (27.76 x 21.41 x 0.79 cm)
  • Category Mathematics
  • Library of Congress subjects Data mining, SAS (Computer program language)
  • Library of Congress Catalogue Number 2008299434
  • Dewey Decimal Code 519.56

About the author

Mithat Gnen is an Associate Attending Biostatistician at Memorial Sloan-Kettering Cancer Center, where he specializes in clinical trial design, medical diagnostic tests, and predictive model development. A SAS user since 1991, he is the author of numerous professional papers and a member of the American Statistical Association and the International Biometric Society. Mithat received a B.S. in Electrical Engineering from Middle East Technical University, an M.S. in Industrial Engineering from Stanford University, and an M.S. and Ph.D. in Statistics from Texas Tech University.
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Analyzing Receiver Operating Characteristic Curves with SAS (Sas Press Series)
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Analyzing Receiver Operating Characteristic Curves with SAS (Sas Press Series)

by Gonen, Mithat

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Analyzing Receiver Operating Characteristic Curves with SAS (Sas Press Series)
Stock photo: cover may vary

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

by Gonen, Mithat

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  • Paperback
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ISBN 10 / ISBN 13
9781599942988 / 1599942984
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