Elastic Net is particularly useful in epidemiological studies when:
1. High-Dimensional Data: The number of predictors exceeds the number of observations, a common scenario in genetic epidemiology. 2. Multicollinearity: Predictors are highly correlated, which can destabilize traditional regression models. 3. Variable Selection: You need to identify the most relevant predictors from a large set, improving model simplicity and interpretability.
