Multivariable adjustment is a statistical technique used in epidemiological studies to account for the influence of multiple variables, or confounders, that may impact the relationship between the exposure and the outcome of interest. By adjusting for these confounders, researchers aim to isolate the effect of the primary exposure and obtain a more accurate estimate of its association with the outcome.
