We don’t randomize just to be fair; we do it to eliminate . Randomization ensures that both known and unknown factors (like genetics or lifestyle) are distributed evenly across groups. This allows us to say with confidence that any difference in outcomes is due to the intervention, not the baseline characteristics of the patients. 2. Blinding: Protecting the Data’s Integrity
Indicators like biomarkers that predict a clinical benefit, even if they aren't the benefit themselves. 4. The Ethics of Equipoise Fundamental Concepts for New Clinical Trialists
Blinding (or masking) prevents the "placebo effect" or observer bias from creeping into the data. The patient doesn't know their treatment. We don’t randomize just to be fair; we do it to eliminate
The main question the study is powered to answer (e.g., "Does this drug lower blood pressure?"). The Ethics of Equipoise Blinding (or masking) prevents
Additional data points (e.g., "Does it also improve quality of sleep?").
Neither the patient nor the researcher knows.As a trialist, your job is to maintain this "seal" throughout the study. Once the blind is broken, the statistical weight of your findings drops significantly. 3. Choosing the Right Endpoints
What does "success" look like? You must define this before the first patient is enrolled.