[Answered]: How can bias and confounding affect the…

How can bias and confounding affect the interpretation of results in analytic epidemiology? Question 4 options: Bias and confounding help clarify study results by reducing uncertainty They distort the true relationship between exposure and disease, leading to incorrect conclusions Bias is useful for highlighting specific health trends Confounding variables are always irrelevant in well-designed studies