Meta-analysis combines data from multiple studies to increase statistical power and provide more robust estimates of effect sizes. Techniques such as fixed-effect and random-effects models are used to pool data while accounting for heterogeneity among studies. This method is essential for synthesizing evidence across different populations and settings.
