Analyzing Receiver Operating Characteristic Curves With SAS

Paperback: 152 pages 公卫家园
Publisher: SAS Publishing; 1 edition (October 10, 2007)
Language: English
ISBN-10: 1599942984
ISBN-13: 978-1599942988
Product Dimensions: 10.9 x 8.4 x 0.5 inches
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 公卫人
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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"Mithat Gönen has produced the best text to date regarding receiver operating characteristic (ROC) curves and their use in statistical analysis. He provides insight into how ROC curve analysis can be used to assess the accuracy of predictions and forecasts. The book is easy to read and comprehend and has a wealth of SAS programming examples from business, science, and medicine. The author covers all the essential approaches to analyzing receiver operating characteristic curves. I highly recommend this book!" --William F. McCarthy, Ph.D., Director, Clinical Trials,Clinical Statistics and SAS Programming, Maryland Medical Research Institute, Baltimore, MD

"ROC curves may seem quite mysterious at first; what does a "receiver operating characteristic curve" have to do with biological or biomedical phenomena? Dr. Gönen's lucid and well-organized book dispels the ROC mystery and enables ready adoption of this exciting methodology. The mixture of clearly articulated theory and development of topics with SAS code and review of SAS output throughout the text is very effective for the introduction of this material the examples are focused and well-designed. In sum, I heartily recommend Dr. Gönen's fine book." Robert Singer, M.S. PDL BioPharma --Robert Singer, M.S., PDL BioPharma