ROC Analysis for Classification and Prediction in Practice

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This book will present a unified and up-to date introduction to ROC methodologies, covering both diagnosis (classification) and prediction. The book emphasizes the practical implementation of these methods using standard statistical software such as R and STATA. Existing books tend to be specialized and/or focus on the theoretical derivations, with limited discussion of the use of the concepts and methods across diverse scientific fields and modest emphasis on the implementation of the methods. Primarily for researchers,it is alsouseful for those that use ROC analysis in disciplines such as diagnostic medicine, bioinformatics, medical physics, and perception psychology.