Why is Confounder Adjustment Important in Cancer Research?
In cancer research, the association between risk factors (like smoking, diet, or genetic predispositions) and cancer outcomes can be influenced by various confounders. For example, age, gender, and socioeconomic status are common confounders. Properly adjusting for these variables helps to isolate the effect of the primary exposure on cancer risk, leading to more accurate and reliable conclusions.