ROC Analysis for Classification and Prediction in Practice (Chapman & Hall/CRC Biostatistics Series) (EPUB)
4 $
Format : EPUB
File Size : 6.7 MB
“ROC Analysis for Classification and Prediction in Practice” by Christos Nakas, Leonidas Bantis, and Constantine Gatsonis presents a modern and practical introduction to ROC methodologies for classification and prediction. The book includes examples, code, and datasets for each chapter, making it useful for researchers and graduate students in various disciplines such as diagnostic medicine, bioinformatics, medical physics, and perception psychology. The ebook is 218 pages long and published by Chapman and Hall/CRC in May 2023. ISBN: 978-1482233704.
ROC Analysis for Classification and Prediction in Practice (Chapman & Hall/CRC Biostatistics Series) (EPUB)
Unified Introduction to ROC Methodologies
By Christos Nakas, Leonidas Bantis, Constantine Gatsonis
Get ready to dive into the unified and updated introduction to ROC methodologies presented in this book. It covers both diagnosis (classification) and prediction. The authors give special emphasis to the conceptual underpinning of ROC analysis and practical implementation in various scientific fields. The book contains plenty of examples to accompany the methodologic discussion, using standard statistical software such as R and STATA. Written after two decades of intensive growth in both the methods and the applications of ROC analysis, it presents a new synthesis. This modern exposition of ROC methodology for both classification and prediction provides material on multiple-class ROC and avoids lengthy technical exposition. Further, it provides code and datasets in each chapter.
Product Details
- Publisher : Chapman and Hall/CRC; 1st edition (May 26, 2023)
- Language : English
- eBook Digital : 218 pages
- ISBN-10 : 1482233703
- ISBN-13 : 978-1482233704
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