Library Hours
Monday to Friday: 9 a.m. to 9 p.m.
Saturday: 9 a.m. to 5 p.m.
Sunday: 1 p.m. to 9 p.m.
Naper Blvd. 1 p.m. to 5 p.m.
     
Limit search to available items
Results Page:  Previous Next
Author Gonen, Mithat.

Title Analyzing receiver operating characteristic curves with SAS / Mithat Gonen. [O'Reilly electronic resource]

Imprint Cary, NC : SAS Institute, 2007.
QR Code
Description 1 online resource (x, 134 pages) : illustrations
text file
Series SAS Press series
SAS Press series.
Bibliography Includes bibliographical references (pages 127-128) and index.
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.
Summary 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.
Subject Lehmann, E. L. (Erich Leo), 1917-2009.
SAS (Computer file)
SAS (Computer file)
Lehmann, E. L. (Erich Leo), 1917-2009
SAS (Computer file)
Medical statistics.
Medicine -- Research -- Statistical methods.
SAS (Computer program language)
Médecine -- Recherche -- Méthodes statistiques.
SAS (Langage de programmation)
Medical statistics
Medicine -- Research -- Statistical methods
SAS (Computer program language)
Added Author SAS Institute.
Added Title Analyzing ROC curves with SAS
Other Form: Print version: Gonen, Mithat. Analyzing receiver operating characteristic curves with SAS. Cary, NC : SAS Institute, 2007 9781599942988 1599942984 (OCoLC)166390097
ISBN 9781599946344 (electronic bk.)
1599946343 (electronic bk.)
Standard No. 9781599942988
Patron reviews: add a review
Click for more information
EBOOK
No one has rated this material

You can...
Also...
- Find similar reads
- Add a review
- Sign-up for Newsletter
- Suggest a purchase
- Can't find what you want?
More Information