Bias and confounding can significantly impact the validity of inferential statistics. In cancer research, methods to address these issues include:
Randomization in clinical trials to evenly distribute known and unknown confounders. Matching cases and controls based on potential confounders. Multivariable analysis to adjust for confounding variables.
