Variable selection refers to the process of choosing a subset of relevant variables for use in model construction. This is crucial in epidemiology because it helps to improve the accuracy, interpretability, and efficiency of statistical models. Selecting the right variables can aid in identifying the true relationships between exposures and outcomes, reducing the potential for confounding, and enhancing the predictive power of the models.
