ROC Analysis for Classification and Prediction in Practice (Chapman & Hall/CRC Biostatistics Series) (Original PDF from Publisher)

By Christos Nakas, Leonidas Bantis, Constantine Gatsonis

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. 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.

Product Details

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