The Statistical Evaluation of Medical Tests for Classification and Prediction

Author:   Margaret Sullivan Pepe (Professor of Biostatistics, University of Washington; Fred Hutchinson Cancer Research Center, Washington, USA)
Publisher:   Oxford University Press
ISBN:  

9780198565826


Pages:   320
Publication Date:   07 October 2004
Format:   Paperback
Availability:   To order   Availability explained
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The Statistical Evaluation of Medical Tests for Classification and Prediction


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Author:   Margaret Sullivan Pepe (Professor of Biostatistics, University of Washington; Fred Hutchinson Cancer Research Center, Washington, USA)
Publisher:   Oxford University Press
Imprint:   Oxford University Press
Dimensions:   Width: 15.80cm , Height: 1.90cm , Length: 23.30cm
Weight:   0.474kg
ISBN:  

9780198565826


ISBN 10:   0198565828
Pages:   320
Publication Date:   07 October 2004
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   To order   Availability explained
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

Table of Contents

1: Introduction 2: Measures of Accuracy for Binary Tests 3: Comparing Binary Tests and Regression Analysis 4: The Receiver Operating Characteristic Curve 5: Estimating the ROC Curve 6: Covariate Effects on Continuous and Ordinal Tests 7: Incomplete Data and Imperfect Reference Tests 8: Study Design and Hypothesis Testing 9: More Topics and Conclusions References/Bibliography Index

Reviews

Statistical results are given a methodical treatment. In each chapter statistical results are motivated, stated and usually proven, and then illustrated on a variety of datasets based on actual trials. Many of the results were developed by Pepe and her colleagues, who have advanced the field in seminal ways. Chapters end with a concluding remarks section, a set of exercises, and proofs of more involved theoretical results, when needed. Concluding remarks sections nicely summarize results and discuss open research questions. References to key papers are given throughout. This structure allows the book to serve as both a classroom text and an excellent reference to the current literature. Journal of Biopharmaceutical Studies I very much recommend this book to a range of audiences, from those wanting an introduction to diagnostic test concepts and methods to active researchers in the area. This book is likely to stimulate considerable progress in development of new statistical methods for diagnostic tests, an area that relative to therapeutics has received little attention from biostatisticians. Journal of Biopharmaceutical Studies


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