Interpreting the AUC-ROC curve involves understanding the trade-off between sensitivity and specificity: - High AUC (>0.8): Indicates a strong ability to distinguish between positive and negative cases. - Moderate AUC (0.7-0.8): Indicates acceptable discrimination ability. - **Low AUC (Practical Applications in Epidemiology In practical epidemiological studies, the AUC-ROC curve is applied in various contexts: - Disease Screening: Evaluating the performance of screening tests for early detection of diseases like cancer, diabetes, or infectious diseases. - Predictive Modeling: Assessing models that predict the risk of disease outbreaks or the spread of infectious diseases. - Genetic Epidemiology: Comparing genetic tests for susceptibility to certain diseases.