Reducing noise is essential because it helps in enhancing the validity and reliability of epidemiological studies. High noise levels can lead to confounding, which may distort the true relationship between exposure and outcome. By minimizing noise, researchers can more accurately estimate the effect of exposures on health outcomes, thus providing more reliable evidence for public health decision-making.
