There are several methods for making adjustments in epidemiological analyses:
Stratification: This involves dividing the data into subgroups based on certain characteristics (such as age or gender) to control for confounding. Statistical Modeling: Techniques such as multivariate analysis allow researchers to adjust for multiple confounders simultaneously. Standardization: This method involves adjusting rates so they can be compared across different populations by eliminating the effects of differences in distribution.
