Would you bet money on the sun not rising tomorrow? No? So why do you take homoeopathic products, have needles stuck in your body, etc.?
Frequentist inference, commonly used in medical data analysis, supplies no direct information on the probability that a tested research hypothesis is correct. The resulting error is worsened when the hypotheses examined have non-solid scientific bases such as the so-called complementary therapies. In such cases Bayesian statistics considering a priori probability in a tested hypothesis are more appropriate.
The authors have demonstrated that the application of Bayesian statistics can change the results of clinical studies into complementary medicines.