1. Identify Variables: Start by identifying all potential variables that might be related to the health outcome. 2. Construct a Diagram: Use tools like DAGs to visually represent the relationships between variables. 3. Test Relationships: Use statistical methods to test the hypothesized relationships. 4. Refine the Model: Based on the results, refine the model to better fit the observed data.
