What are Some Common Methods for Multivariable Adjustment?
Several methods are commonly used for multivariable adjustment in epidemiological research:
1. Stratification: Dividing the data into subgroups based on the levels of a confounder and analyzing each subgroup separately. 2. Matching: Pairing exposed and unexposed individuals with similar values of the confounder to control for its effect. 3. Standardization: Adjusting the rates of disease or other outcomes to a standard population to account for differences in confounder distribution. 4. Regression Models: Using statistical models to adjust for multiple confounders simultaneously.
