Once identified, confounders can be controlled through various methods:
1. Randomization: This is the gold standard in clinical trials, as it helps evenly distribute confounders across study groups. 2. Stratification: Dividing the study population into subgroups based on confounder levels can help control for their effects. 3. Multivariable Analysis: Techniques like multiple regression can adjust for multiple confounders simultaneously. 4. Matching: Matching subjects in the treatment group with those in the control group based on confounder variables can help balance these factors.
