The process typically involves several steps: 1. Identify the Exposure, Outcome, and Mediator: Clearly define the variables involved. 2. Specify the Causal Model: Develop a theoretical model that posits the relationships among the exposure, mediator, and outcome. 3. Estimate Effects: Use statistical methods, such as regression analysis or structural equation modeling, to estimate the direct and indirect effects. 4. Sensitivity Analysis: Assess the robustness of the findings by considering potential biases, such as unmeasured confounding.
