Data analysis usually involves comparing the primary outcome measures between the intervention and control groups. Common statistical tests include the t-test for continuous variables and the chi-square test for categorical variables. Advanced techniques like regression analysis may also be used to adjust for any imbalances in baseline characteristics.
