Incomplete records can lead to biased results and incorrect conclusions. For instance, if a study on the prevalence of a disease has missing data on certain demographics, the findings may not accurately reflect the true distribution of the disease. This can hinder the development of effective public health interventions and policies. Hence, addressing incomplete records is crucial for ensuring the accuracy and credibility of epidemiological research.
