ABSTRACT

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

chapter 1|18 pages

- Background and Introduction

chapter 2|8 pages

- Diagnostic Rating Scales

chapter 3|36 pages

- Monotone Transformation Models

chapter 4|18 pages

- Combination and Pooling of Biomarkers

chapter 5|20 pages

- Bayesian ROC Methods

chapter 6|26 pages

- Sequential Designs of ROC Experiments

chapter 7|34 pages

- Multireader ROC Analysis

chapter 8|38 pages

- Free-Response ROC Analysis

chapter 9|12 pages

- Machine Learning and Predictive Modeling

chapter 10|6 pages

- Summary and Challenges