Without model adjustment, the results of an epidemiological study can be misleading. For example, if a study aims to investigate the relationship between smoking and lung cancer, failing to adjust for age can lead to biased results. Older individuals might be more likely to develop lung cancer regardless of smoking status, skewing the findings.
