Why is Measurement Error a Problem in Epidemiology?
Measurement error can attenuate the estimated associations between exposure and outcome, making it difficult to detect true relationships. It can also lead to confounding, where the observed association is distorted by the presence of measurement error. This can result in incorrect conclusions about the causality and strength of associations, ultimately impacting public health recommendations and policy decisions.
