The statistical evaluation of medical tests for classification and prediction
by Margaret Sullivan Pepe
Describes the statistical concepts and techniques for evaluating the accuracy of medical tests. Main topics include: estimation and comparison of measures of accuracy, including receiver operating characteristic curves; regression frameworks for assessing factors that influence test accuracy and for comparing tests while adjusting for such factors; and sample size calculations and other issues pertinent to study design. Problems relating to missing and imperfect reference data are discussed in detail. Additional topics include: meta-analysis for summarizing the results of multiple studies of a test; the evaluation of markers for predicting event time data; and procedures for combining the results of multiple tests to improve classification. This book will be of interest to quantitative researchers and to practicing statisticians. It also covers the theoretical foundations for statistical inference and will be of interest to academic statisticians.
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The statistical evaluation of medical tests for classification and prediction
2003, Oxford University Press, Oxford University Press, USA
in English
0198509847 9780198509844
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Includes bibliographical references (p. 280-296) and index.
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- Created April 1, 2008
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| April 19, 2025 | Edited by MARC Bot | import existing book |
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