Bias and confounding are major threats to the validity of epidemiological studies. Refinement involves implementing strategies to minimize these issues. For instance, randomization in RCTs helps reduce selection bias, while matching and stratification in case-control studies can control for confounding variables. Blinding and using objective measurement tools also contribute to reducing bias.
