Recognizing effect modifiers has several key implications:
1. Tailored Interventions: Understanding how different subgroups are affected can help design targeted interventions. 2. Policy Development: Helps in formulating policies that are more effective by considering the heterogeneity in the population. 3. Improved Risk Assessment: Enhances the accuracy of risk assessments by identifying groups that may be at higher or lower risk.
