Multilevel analysis is a statistical technique designed to handle data that is hierarchically structured. In epidemiology, this often means data that is organized at multiple levels, such as individuals within communities, schools, or regions. Conventional statistical methods may fail to account for this hierarchical structure, potentially leading to biased or inaccurate results. Multilevel analysis, however, can appropriately partition the variation in outcomes to the different levels, providing more reliable and nuanced insights.
