Multivariable adjustment is typically performed using statistical models such as multiple regression, logistic regression, or Cox proportional hazards models. These models allow researchers to include multiple covariates simultaneously and adjust for their potential confounding effects. The choice of model depends on the nature of the data and the type of outcome being studied.
