This book presents a unified and up-to date introduction to ROC methodologies, covering both diagnosis (classification) and prediction. It 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.