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

This book titled ROC Analysis for Classification and Prediction in Practice is written by Christos Nakas, Leonidas Bantis, and Constantine Gatsonis. The book provides an all-in-one introduction to ROC methodologies in diagnosis (classification) and prediction. With a focus on the conceptual underpinning of ROC analysis and the practical implementation in diverse scientific fields, it offers numerous examples to accompany the methodological discussion using standard statistical software like R and STATA. This book comes as a new synthesis after two decades of extensive growth in both the applications and methods of ROC analysis. The authors provide a modern, unified exposition of ROC methodology for both classification and prediction, including multiple-class ROC material. It avoids lengthy technical explanations and provides code and datasets in each chapter. ROC Analysis for Classification and Prediction in Practice targets researchers and postgraduates but can also be useful to those who use ROC analysis in varied subjects like diagnostic medicine, bioinformatics, medical physics, and perception psychology.

Product Details

• The book is published by Chapman and Hall/CRC in its first edition on May 26, 2023.
• It is written in the English language.
• The eBook Digital version of the book consists of 218 pages.
• The book has an ISBN-10 of 1482233703 and an ISBN-13 of 978-1482233704.