Analyzing Receiver Operating Characteristic Curves With SAS 1st Edition by Mithat Gonen ISBN 1599942984 9781599942988

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ISBN 10: 1599942984 
ISBN 13: 9781599942988
Author: Mithat Gonen

Analyzing Receiver Operating Characteristic Curves With SAS 1st Table of contents:

Chapter 1: Introduction to ROC Curves

• What is an ROC Curve?

• The Role of ROC Curves in Classification Problems

• Understanding Sensitivity, Specificity, and Other Key Metrics

• Applications of ROC Curves in Healthcare, Finance, and Beyond

Chapter 2: Statistical Concepts Behind ROC Curves

• Definitions of True Positive, False Positive, True Negative, and False Negative

• Sensitivity, Specificity, and Precision

• The Area Under the Curve (AUC)

• Thresholds and Their Impact on ROC Curve Performance

Part I: Preparing Data for ROC Analysis

Chapter 3: Data Preparation in SAS for ROC Analysis

• Importing Data into SAS

• Cleaning and Structuring Data for ROC Analysis

• Handling Missing Data and Outliers

Chapter 4: Logistic Regression Models and Their Relationship to ROC Curves

• Introduction to Logistic Regression

• Model Building in SAS: PROC LOGISTIC

• Generating Probabilities for ROC Curve Analysis

Part II: Creating and Analyzing ROC Curves with SAS

Chapter 5: Basic ROC Curve Analysis with SAS

• Introduction to PROC ROCCurve

• Steps for Generating ROC Curves in SAS

• Interpreting the Output: True Positive Rate vs. False Positive Rate

Chapter 6: Visualizing and Customizing ROC Curves in SAS

• Enhancing ROC Curves with Titles, Labels, and Annotations

• Multiple Curves on the Same Graph

• Using PROC SGPLOT for Visualizations

Chapter 7: Interpreting the Area Under the Curve (AUC)

• Definition and Calculation of AUC

• AUC as a Performance Metric

• How to Interpret the AUC in SAS Outputs

Part III: Advanced ROC Analysis

Chapter 8: Comparing Multiple ROC Curves

• Methods for Comparing Models Using ROC Curves

• Statistical Tests for Comparing AUC (DeLong Test, etc.)

• Performing ROC Comparisons in SAS

Chapter 9: ROC Curves for Multi-Class Classification Problems

• Extending ROC Analysis to Multi-Class Scenarios

• One-vs-Rest and One-vs-One Approaches

• Implementing Multi-Class ROC Analysis in SAS

Chapter 10: Optimizing Thresholds for ROC Curves

• Choosing the Optimal Cutoff Point Using ROC Curves

• Balancing Sensitivity and Specificity

• ROC Curves and Decision Theory

Part IV: Special Topics in ROC Curve Analysis

Chapter 11: ROC Curves in Survival Analysis

• ROC Curves in Time-to-Event Data

• Integrating ROC Analysis with Cox Proportional Hazards Models

• Using PROC PHREG in SAS for Survival-based ROC Analysis

Chapter 12: ROC Curve Analysis in Machine Learning

• Integrating ROC Curves with Classification Algorithms

• ROC Curves for Model Evaluation in Machine Learning

• Using PROC HPSPLIT for Decision Trees and ROC Analysis

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Tags: Mithat Gonen, Analyzing Receiver, Characteristic Curves