Structural Equation Modeling (SEM) is a comprehensive statistical technique used to analyze complex relationships among variables. It integrates multiple regression analysis, factor analysis, and path analysis into a single framework. In the context of epidemiology, SEM is particularly useful for testing hypotheses about causal relationships, understanding latent variables, and assessing indirect effects in health studies.