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1 Preliminaries PART A The receiver operating characteristic (ROC) paradigm 2 The binary paradigm 3 Modeling the binary task 4 The ratings paradigm 5 Empirical AUC 6 Binormal model 7 Sources of variability in AUC PART B Two significance testing methods for the ROC paradigm 8 Hypothesis testing 9 Dorfman?Berbaum?Metz?Hillis (DBMH) analysis 10 Obuchowski?Rockette?Hillis (ORH) analysis 11 Sample size estimation PART C The free-response ROC (FROC) paradigm 12 The FROC paradigm 13 Empirical operating characteristics possible with FROC data 14 Computation and meanings of empirical FROC FOM-statistics and AUC measures 15 Visual search paradigms 16 The radiological search model (RSM) 17 Predictions of the RSM 18 Analyzing FROC data 19 Fitting RSM to FROC/ROC data and key findings PART D Selected advanced topics 20 Proper ROC models 21 The bivariate binormal model 22 Evaluating standalone CAD versus radiologists 23 Validating CAD analysis |