Bias and confounding are major threats to the validity of epidemiological studies. Strategies to minimize bias include using randomized designs, blinding, and matching. Confounding can be addressed through techniques such as stratification, multivariable adjustment, and propensity score matching. Sensitivity analyses can help assess the robustness of findings.
