Incomplete or inaccurate information can significantly undermine the validity and reliability of epidemiological studies. For instance, if the data collected is not representative of the population, it can lead to selection bias. Similarly, inaccurate data can result in misclassification of disease status or exposure, which can distort the association between risk factors and health outcomes.