ROC Analysis for Classification and Prediction in Practice: A Comprehensive Guide

By Christos Nakas, Leonidas Bantis, Constantine Gatsonis

This book provides a unified and up-to-date introduction to ROC methodologies, covering both diagnosis (classification) and prediction. The emphasis is on the conceptual underpinning of ROC analysis and the practical implementation in diverse scientific fields. A plethora of examples accompany the methodologic discussion using standard statistical software such as R and STATA. The book arrives after two decades of intensive growth in both the methods and the applications of ROC analysis and presents a new synthesis. The authors provide a contemporary, integrated exposition of ROC methodology for both classification and prediction and include material on multiple-class ROC. This book avoids lengthy technical exposition and provides code and datasets in each chapter. ROC Analysis for Classification and Prediction in Practice is intended for researchers and graduate students, but will also be useful for those that use ROC analysis in diverse disciplines such as diagnostic medicine, bioinformatics, medical physics, and perception psychology.

Key Features:

• Comprehensive guide to ROC methodologies
• Covers diagnosis (classification) and prediction
• Emphasis on conceptual underpinning and practical implementation
• Examples using standard statistical software such as R and STATA
• Includes material on multiple-class ROC
• Avoids lengthy technical exposition
• Provides code and datasets in each chapter
• Intended for researchers and graduate students
• Useful for those in diverse disciplines such as diagnostic medicine, bioinformatics, medical physics, and perception psychology

Product Details:

Publisher: Chapman and Hall/CRC; 1st edition (May 26, 2023)

Language: English

Format: Hardcover

Pages: 218

ISBN-10: 1482233703

ISBN-13: 978-1482233704