When assumptions are violated, the validity of the epidemiological study can be compromised. For instance, violating the assumption of random sampling can introduce selection bias, while ignoring the presence of confounders can distort the true association between exposure and outcome. This can lead to incorrect conclusions and misguided public health interventions.
