Confounding is another significant source of methodological disagreement. A confounder is an extraneous variable that correlates with both the independent and dependent variables, potentially misleading the results. Methods to control for confounding include randomization, stratification, and statistical adjustments like multivariable regression. The effectiveness and appropriateness of these methods can be a point of contention among researchers.