The Statistical Evaluation of Medical Tests for Classification and Prediction

Margaret Sullivan Pepe

318 pages, parution le 08/04/2003

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Résumé

Includes worked examples along with data and code, which provides the reader with easy implementation of methods
Addresses issues in study design and sample size formulas
Contains solid mathematical theory
Comprehensive, discusses a wide range of real-world problems

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 in medicine.

Readership: Researchers in biostatistics (medical statistics), statistics, medical science, public health and clinical research.

Contents

Measures of Accuracy for Binary Tests
Comparing Binary Tests and Regression Analysis
The Receiver Operating Characteristic Curve
Estimating the ROC Curve
Covariate Effects on Continuous and Ordinal Tests
Incomplete Data and Imperfect Reference Tests
Study Design and Hypothesis Testing
More Topics and Conclusions
Bibliography

L'auteur - Margaret Sullivan Pepe

Margaret Sullivan Pepe, Professor of Biostatistics, University of Washington and Fred Hutchinson Cancer Research Center, Washington, USA.

Caractéristiques techniques

	PAPIER
Éditeur(s)	Oxford University Press
Auteur(s)	Margaret Sullivan Pepe
Parution	08/04/2003
Nb. de pages	318
Format	16 x 24
Couverture	Relié
Poids	570g
Intérieur	Noir et Blanc
EAN13	9780198509844
ISBN13	978-0-19-850984-4