Elastic Net is a regularization technique that combines the properties of both Lasso (Least Absolute Shrinkage and Selection Operator) and Ridge Regression. It aims to improve the predictive accuracy and interpretability of statistical models. In epidemiology, it is particularly useful for handling datasets with a large number of predictors, which often include highly correlated variables.
