Why Are Regression Models Important in Epidemiology?
Regression models are crucial in epidemiology for several reasons:
Risk Factor Identification: They help identify risk factors associated with diseases. Predictive Modeling: They enable the prediction of future health outcomes based on existing data. Adjustment for Confounders: They allow for the adjustment of confounding variables, leading to more accurate estimates. Quantification of Effect: They provide a way to quantify the effect of exposures on health outcomes.
