Multiple mediation analysis typically involves statistical models that estimate the direct and indirect effects of an exposure on an outcome through several mediators. Commonly used methods include:
1. Structural Equation Modeling (SEM): SEM is a versatile statistical technique that allows for the estimation of complex relationships between variables, including multiple mediation pathways. 2. Path Analysis: A simplified form of SEM, path analysis focuses on the direct and indirect pathways between variables. 3. Bootstrap Methods: These are used to provide robust estimates and confidence intervals for indirect effects, especially when dealing with small sample sizes or non-normal distributions.
