Why is Linear Regression Important in Epidemiology?
Linear regression is critical in epidemiology for several reasons: 1. Identification of Risk Factors: It helps in identifying and quantifying the influence of potential risk factors on health outcomes. 2. Predictive Modeling: By understanding the relationship between variables, it enables the creation of predictive models for disease occurrence and progression. 3. Control for Confounding Variables: Linear regression can adjust for confounding variables, providing a clearer picture of the actual relationship between the independent and dependent variables.
