Why is Regression Analysis Important in Epidemiology?

Regression analysis is essential in epidemiology for several reasons:

Identifying Risk Factors: It helps in determining which factors are associated with the increased risk of a particular disease.
Creating Predictive Models: It allows for the development of models that can predict health outcomes based on various risk factors.
Adjusting for Confounders: Regression helps to control for confounding variables, making the associations more reliable.
Quantifying Relationships: It provides a quantifiable measure of the relationship between variables, which is crucial for making informed public health decisions.