There are several methods to control for confounding:
Randomization: Randomly assigning subjects to different groups can help evenly distribute potential confounders. Restriction: Limiting the study to individuals who fall within a specific category of the confounder. Matching: Pairing subjects with similar characteristics, such as age or gender, across different study groups. Stratification: Analyzing data within strata (subgroups) of the confounder to isolate its effect. Multivariable Analysis: Using statistical techniques like regression analysis to adjust for multiple confounders simultaneously.
