Kelly H. Zou, Aiyi Liu, Andriy I. Bandos, Lucila Ohno-Machado, Howard E. Rockette

Statistical Evaluation of Diagnostic Performance (eBook, PDF)

Topics in ROC Analysis

• Format: PDF

Produktbeschreibung

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

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 245
• Erscheinungstermin: 19. April 2016
• Englisch
• ISBN-13: 9781439812235
• Artikelnr.: 38452582

Autorenporträt

Kelly H. Zou, Aiyi Liu, Andriy I. Bandos, Lucila Ohno-Machado, Howard E. Rockette

Inhaltsangabe

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.