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Open AccessLetter

Why Current Statistics of Complementary Alternative Medicine Clinical Trials is Invalid

1
Former Professor of Ophthalmology, University of Lund, SE-22100 Lund, Sweden
2
Oncologic Network, Prevention and Research Institute, 50141 Florence, Italy
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2018, 7(6), 138; https://doi.org/10.3390/jcm7060138
Received: 4 June 2018 / Accepted: 5 June 2018 / Published: 7 June 2018
(This article belongs to the Section Epidemiology & Public Health)
It is not sufficiently known that frequentist statistics cannot provide direct information on the probability that the research hypothesis tested is correct. The error resulting from this misunderstanding is compounded when the hypotheses under scrutiny have precarious scientific bases, which, generally, those of complementary alternative medicine (CAM) are. In such cases, it is mandatory to use inferential statistics, considering the prior probability that the hypothesis tested is true, such as the Bayesian statistics. The authors show that, under such circumstances, no real statistical significance can be achieved in CAM clinical trials. In this respect, CAM trials involving human material are also hardly defensible from an ethical viewpoint. View Full-Text
Keywords: complementary alternative medicine (CAM); p-value; Bayesian statistics; scientific plausibility complementary alternative medicine (CAM); p-value; Bayesian statistics; scientific plausibility
MDPI and ACS Style

Pandolfi, M.; Carreras, G. Why Current Statistics of Complementary Alternative Medicine Clinical Trials is Invalid. J. Clin. Med. 2018, 7, 138.

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