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The Statistical Evaluation of Medical Tests for Classification and Prediction
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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

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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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