Why is Multiple Regression Important in Epidemiology?
In the field of epidemiology, multiple regression is essential for several reasons:
Adjusting for Confounders: It helps in adjusting for potential confounding variables that could distort the true relationship between the exposure and the outcome. Assessing Multiple Risk Factors: Epidemiologists can assess the impact of multiple risk factors simultaneously on a health outcome. Predictive Modeling: It aids in predicting the occurrence of diseases based on multiple predictors.
