Covariates are essential in cancer research because they can confound the relationship between an exposure and an outcome. For instance, if you're studying the effect of a new drug on cancer survival rates, you need to account for covariates like age, gender, and smoking status. These factors can independently affect survival rates, and failing to account for them could lead to misleading conclusions.
