Multilevel analysis should be used when data is nested or hierarchically structured. Common situations in epidemiology where multilevel analysis is appropriate include:
- Studies examining the influence of neighborhood characteristics on individual health outcomes. - School-based studies assessing the impact of school-level policies or environments on student health. - Clinical research investigating variations in patient outcomes across different healthcare facilities.
