Statistical Evaluation of Diagnostic Performance

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

• 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.

"… 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