Statistical adjustment is a technique used to account for potential confounding variables in epidemiological studies. Confounders are factors that can distort the true relationship between the exposure and the outcome being studied. By adjusting for these variables, researchers aim to isolate the effect of the exposure on the outcome, leading to more accurate and reliable results.
