UID:
almahu_9949598596802882
Format:
1 online resource.
Edition:
First edition.
ISBN:
9780429170140
,
0429170149
,
9780429529016
,
0429529015
,
9781482233711
,
1482233711
,
9780429543715
,
0429543719
Series Statement:
Chapman & Hall/CRC biostatistics series
Content:
"This book will present a unified and up-to date introduction to ROC methodologies, covering both diagnosis (classification) and prediction. The book will emphasize the practical implementation of these methods using standard statistical software such as R and STATA. Existing books tend to be specialized and/or focus on the theoretical derivations, with limited discussion of the use of the concepts and methods across diverse scientific fields and modest emphasis on the implementation of the methods. This book comes after more than a decade of intensive growth in both the methods and the applications of ROC analysis. It is time for a new synthesis. This book will provide a contemporary, integrated exposition of ROC methodology for both classification and prediction, and will include material on multiple class ROC. It will avoid lengthy technical exposition and will provide code and datasets in each chapter. Receiver Operating Characteristic Analysis for Classification and Prediction is primarily for researchers, but will also be useful for those that use ROC analysis in disciplines such as diagnostic medicine, bioinformatics, medical physics, and perception psychology"--
Additional Edition:
Print version: Nakas, Christos T. ROC analysis for classification and prediction in practice Boca Raton : CRC Press, 2023 ISBN 9781482233704
Language:
English
DOI:
10.1201/9780429170140
URL:
https://www.taylorfrancis.com/books/9780429170140
Bookmarklink
