Examines multifactorial clinical trials and explains how combined interventions limit conclusions about which components cause observed effects.
Key Takeaways
- Multifactorial trials test bundled interventions so they cannot attribute outcomes to any single component
- Such trials preserve real-world synergy and may detect effects single-component trials miss
- Isolating a specific intervention requires a trial specifically designed to vary that component independently