Data analysis in experimental studies usually involves comparing the outcomes between the intervention and control groups. Common statistical methods include:
- T-tests and Chi-square tests for comparing group means and proportions. - Regression analysis to adjust for potential confounders. - Intention-to-treat analysis to include all participants as originally assigned, preserving the benefits of randomization.
