Statistical Evaluation of Diagnostic Performance
Topics in ROC Analysis
1st Edition
Published on 19. April 2016
245 pages
978-1-040-17927-7 (ISBN)
Description
Statistical evaluation of diagnostic performance in general and Receiver Operating Characteristic (ROC) analysis in particular are important for assessing the performance of medical tests and statistical classifiers, as well as for evaluating predictive models or algorithms. This book presents innovative approaches in ROC analysis, which are releva
Reviews / Votes
"... a useful addition to the ROC literature, which will prove valuable for both those involved in medical diagnosis and those whose primary interest is ROC analysis itself."-David J. Hand, International Statistical Review (2013), 81, 2
"This new book by Zou et al significantly contributes to the existing publications by providing short descriptions on basic issues and in-depth presentations on a few advanced, research-related issues. ... the interested researcher can get inspired reading this book and discover new, unexplored research paths. Another pro of the book, useful for the interested researcher, is the extensive reference list at the end of each chapter. Overall, the book by Zou et al is a valuable starting point for those conducting basic research on ROC analysis and for applied researchers who are intrigued by the use of neat methodologies in applications."
-ISCB News, June 2012
More details
Series
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
ISBN-13
978-1-040-17927-7 (9781040179277)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Kelly H. Zou | Aiyi Liu | Andriy I. Bandos
Statistical Evaluation of Diagnostic Performance
Topics in ROC Analysis
Book
07/2011
1st Edition
Chapman & Hall/CRC
€165.90
Shipment within 15-20 days
Persons
Kelly H. Zou, Aiyi Liu, Andriy I. Bandos, Lucila Ohno-Machado, Howard E. Rockette
Content
Introduction: Background and Introduction. Methods for Univariate and Multivariate Data: Diagnostic Rating Scales. Monotone Transformation Models. Combination and Pooling of BiomarkersBayesian ROC Methods. Advanced Approaches and Applications: Sequential Designs of ROC Experiments. Multireader ROC Analysis. Free-Response ROC Analysis. Machine Learning and Predictive Modeling. Discussions and Extensions: Summary and Challenges. Section Appendices Symbols, Notations and Assumptions. Appendix A: Conventions. Appendix B: Notations. Appendix C: Abbreviations. Appendix D: Definitions and Terminologies. Appendix E: Remarks. Index.
