A good clinical trial meticulously plans its statistics in advance – from sample size to anticipated effects. This precision is crucial for obtaining results than are not only relevant but also open to a meaningful interpretation.
Principles, such as control group, double blinding, and randomization are important to establish causality, control for placebo responses and other nonspecific effects, and reduce selection bias. Moreover, when designing a clinical trial, one should also consider maintaining the product formulation, dosage, and format for solid substantiation.