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

By Christos Nakas, Leonidas Bantis, Constantine Gatsonis

Introduction: This book presents 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.

Key Features: 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.

Target Audience: 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.

Product Details: Publisher: Chapman and Hall/CRC; 1st edition (May 26, 2023) Language: English Hardcover: 218 pages ISBN-10: 1482233703 ISBN-13: 978-1482233704

Why This Book: This book offers a comprehensive guide to ROC methodologies, providing a unified and up-to-date introduction to both diagnosis and prediction. It emphasizes practical implementation in diverse scientific fields and includes numerous examples using standard statistical software. With its focus on conceptual underpinning and practical application, this book is an essential resource for researchers, graduate students, and professionals in various fields.