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

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

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Author: Mithat Gonen
Publisher: SAS Publishing
Category: Book

List Price: $31.95
Buy New: $29.64
You Save: $2.31 (7%)



New (6) Used (2) from $29.64

Sales Rank: 526257

Media: Paperback
Edition: 1
Number Of Items: 1
Pages: 152
Shipping Weight (lbs): 0.8
Dimensions (in): 10.7 x 8.3 x 0.4

ISBN: 1599942984
Dewey Decimal Number: 005
EAN: 9781599942988
ASIN: 1599942984

Publication Date: October 10, 2007
Availability: Usually ships in 1-2 business days
Shipping: International shipping available
Condition: Brand New, Perfect Condition, Please allow 4-14 business days for delivery. 100% Money Back Guarantee, Over 1,000,000 customers served.

Editorial Reviews:

Product Description
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 extensively used in medical diagnosis and increasingly in fields such as data mining, credit scoring, weather forecasting, and psychometry. In this example-driven book, author Mithat Gönen 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.


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