The Statistical Evaluation of Medical Tests for Classification and Prediction

Paperback | March 23, 2006

byMargaret Sullivan PepeAs told byMargaret Sullivan Pepe

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This book describes statistical techniques for the design and evaluation of research studies on medical diagnostic tests, screening tests, biomarkers and new technologies for classification and prediction in medicine.

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From the Publisher

This book describes statistical techniques for the design and evaluation of research studies on medical diagnostic tests, screening tests, biomarkers and new technologies for classification and prediction in medicine.

Margaret Sullivan Pepe is a Professor of Biostatistics, University of Washington; Fred Hutchinson Cancer Research Center, Washington, USA. Margaret Sullivan Pepe is a Professor of Biostatistics, University of Washington; Fred Hutchinson Cancer Research Center, Washington, USA.
Format:PaperbackDimensions:320 pages, 9.21 × 6.14 × 0.73 inPublished:March 23, 2006Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0198565828

ISBN - 13:9780198565826

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Table of Contents

1. Introduction2. Measures of Accuracy for Binary Tests3. Comparing Binary Tests and Regression Analysis4. The Receiver Operating Characteristic Curve5. Estimating the ROC Curve6. Covariate Effects on Continuous and Ordinal Tests7. Incomplete Data and Imperfect Reference Tests8. Study Design and Hypothesis Testing9. More Topics and ConclusionsReferences/BibliographyIndex

Editorial Reviews


., ."[T]his is a timely book that appears to cover a gap in the existing literature...This book is well written."--Journal of the American Statistical Association