Why is Multivariate Regression Important in Epidemiology?

Multivariate regression is crucial in epidemiology for several reasons:
- It helps in controlling for confounding variables, ensuring that the observed associations are not due to other factors.
- It allows for the examination of interactions between variables, providing insights into how different factors may amplify or mitigate each other's effects.
- It aids in building predictive models that can forecast the occurrence of diseases based on multiple risk factors.