Interpreting the AUC-ROC involves understanding its value in the context of model performance:
- AUC = 0.5: The model performs no better than random chance. - **0.5 Applications of AUC-ROC in Epidemiology
AUC-ROC is widely used in various epidemiological applications, including:
- Disease Screening: Evaluating the effectiveness of screening tests for diseases like cancer or infectious diseases. - Predictive Modeling: Assessing the performance of models predicting disease outbreaks or the progression of chronic diseases. - Risk Stratification: Identifying high-risk populations for targeted interventions.
