Multilevel models, also known as hierarchical linear models or mixed-effects models, are advanced statistical techniques used to analyze data that is structured at more than one level. In epidemiology, these models are particularly useful for analyzing data that is grouped by various factors such as geographic regions, hospitals, or schools.
