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

This book presents innovative approaches in Receiver Operating Characteristic (ROC) analysis, which are relevant to a wide variety of applications, including medical imaging, cancer research, epidemiology, and bioinformatics. The covered topics include monotone-transformation techniques in parametric ROC analysis, ROC methods for combined and pooled biomarkers, Bayesian hierarchical transformation models, sequential designs and inferences in the ROC setting, predictive modeling, multireader ROC analysis, and free-response ROC (FROC) methodology.

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Produktdetails

• Verlag: Taylor & Francis
• 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.