Confounding bias can obscure the true relationship between potential risk factors and cancer outcomes. For instance, if researchers are investigating the link between a specific dietary habit and cancer risk, a confounding variable such as smoking—which is associated with both diet and cancer—can distort the findings. Without proper adjustment for such confounders, the study may incorrectly attribute cancer risk to the dietary habit rather than smoking.
