2004. 1st Edition. Paperback. 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. Series: Oxford Statistical Science Series. Num Pages: 320 pages, numerous figures. BIC Classification: MJA; PBT. Category: (P) Professional & Vocational. Dimension: 236 x 159 x 17. Weight in Grams: 480. . . . . .

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Bibliographic Details

Title: The Statistical Evaluation of Medical Tests for Classification and Prediction
Publisher: Oxford University Press
Publication Date: 2004
Language: English
ISBN 10: 0198565828
ISBN 13: 9780198565826
Binding: Soft cover
Edition: 1st Edition
Condition: New

About this title

Synopsis

This book describes statistical concepts and techniques for evaluating medical diagnostic tests and biomarkers for detecting disease. More generally, the techniques pertain to the statistical classification problem for predicting a dichotomous outcome. Measures for quantifying test accuracy are described including sensitivity, specificity, predictive values, diagnostic likelihood ratios and the Receiver Operating Characteristic Curve that is commonly used for continuous and ordinal valued tests. Statistical procedures are presented for estimating and comparing them. Regression frameworks for assessing factors that influence test accuracy and for comparing tests while adjusting for such factors are presented. This book presents many worked examples of real data and should be of interest to practicing statisticians or quantitative researchers involved in the development of tests for classification or prediction in medicine.

About the Author

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.

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