Analyzing receiver operating characteristic curves with SAS

Analyzing receiver operating characteristic curves with SAS

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 fo...

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Bibliographic Details
Corporate Author: SAS Institute Content Provider (content provider)
Other Authors: Gönen, Mithat Author (author), SAS Institute Contributor (contributor)
Format: eBook
Language:Inglés
Published: [Place of publication not identified] SAS Pub 2007
Edition:1st edition
Series:SAS Press series Analyzing receiver operating characteristic curves with SAS
Subjects:
SAS (Computer file)
Receiver operating characteristec curves > Computer programs
SAS (Computer program language) > Data processing
Data mining > Computer programs
Diagnosis
Medical statistics
Mathematics
Physical Sciences & Mathematics
Mathematical Statistics
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627477706719
Table of Contents:
  • Introduction
  • Single binary predictor
  • Single continuous predictor
  • Comparison and covariate adjustment of ROC curves
  • Ordinal predictors
  • Lehmann family of ROC curves
  • ROC curves with censored data
  • Using the ROC curve to evaluate multivariable prediction models
  • ROC curves in SAS Enterprise Miner.

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