Multivariate adjustment is a statistical technique used in epidemiology to control for multiple _confounding variables_ simultaneously. These variables, if not accounted for, could distort the true relationship between the _exposure_ and the _outcome_. By adjusting for these confounders, researchers aim to isolate the effect of the primary exposure of interest.
