Why is Cross Validation Important in Epidemiology?
In epidemiology, accurate prediction models are crucial for understanding disease spread, identifying risk factors, and informing public health interventions. Cross validation helps epidemiologists assess the reliability and validity of their models, ensuring that predictions are generalizable to different populations and not just specific to the training data.
