Limited information can lead to bias and confounding in epidemiological studies. When data is incomplete or inaccurate, it can skew the results and interpretations, leading to incorrect conclusions. This could result in public health policies and interventions that are not based on solid evidence, potentially harming populations rather than helping them.
