Uncertainty analysis is crucial in epidemiology for several reasons: - It helps to identify the limitations of a study. - It allows researchers to understand the range within which the true effect size lies. - It aids in decision-making by policymakers who rely on these studies to make informed public health decisions. - It enhances the transparency and credibility of the research findings.
