1. Subgroup Analysis: Analyzing data across different subgroups (e.g., age, sex, health status) helps in understanding and accounting for variability. 2. Probabilistic Risk Assessment: This method uses probability distributions to account for variability in exposure and response among different individuals. 3. Personalized Approaches: Tailoring risk assessments and safety measures to individual characteristics can help manage variability more effectively.
