Why are Confounding Variables Important in Epidemiology?
Understanding and controlling for confounding variables is crucial for producing valid study results. If not properly addressed, confounding can lead to incorrect inferences about associations between exposures and outcomes. This can ultimately affect public health policies and interventions.