In epidemiology, the stakes are high as the outcomes of models can influence public health policies and interventions. Overfitting can result in misleading associations between risk factors and health outcomes, leading to ineffective or even harmful public health strategies. For instance, an overfitted model might identify a spurious relationship between a particular lifestyle factor and disease incidence, resulting in misguided recommendations.