Why is Multivariable Adjustment Important in Cancer Research?
Cancer is a complex disease with numerous influencing factors. When researchers conduct studies, they aim to understand the effect of specific exposures or treatments on cancer risk or outcomes. Without accounting for confounding variables, the results may be biased or misleading. For example, a study investigating the link between a dietary factor and cancer risk must adjust for confounders like smoking, alcohol consumption, and physical activity to ensure that the observed association is not due to these other factors.
