Multivariable adjustment is a statistical technique used to account for the influence of multiple confounding variables in observational studies, ensuring that the relationship between the primary independent and dependent variables is accurately estimated. This method enhances the validity of study findings by isolating the effect of the variable of interest from other potential influences.