Volume 2, Issue 2, June 2017, Page: 61-68
Causality in Medicine and Its Relationship with the Role of Statistics
Antonio Monleon-Getino, Section of Statistics, Departament of Genetics, Microbiology and Statistics, Faculty of Biology, Univeristy of Barcelona, Barcelona, Spain; Group of Researh in Bioestatistics and Bioinformatics (GRBIO), Barcelona, Spain
Jaume Canela-Soler, Department of Public Health, School of Medicine, Univeristy of Barcelona, Barcelona, Spain
Received: Jan. 17, 2017;       Accepted: Feb. 4, 2017;       Published: Feb. 24, 2017
DOI: 10.11648/j.bsi.20170202.14      View  3045      Downloads  130
Abstract
The general goal of this work is the clarification of the use of concepts of causality in medicine and its relationship with the role of statistics. The value of an association is the evidence of causality. The Bradford Hill considerations on causality are the criteria commonly used to infer causality. Statistics help to know the role of chance in the working medical hypotheses but does not prevent other common mistakes made during clinical research, such as biases. Man has found a procedure that removes the most of all subjectivities and external factors: the scientific method, this does not mean that scientific studies are infallible. There are many factors influencing the cure or improvement of a disease that would be take in account: spontaneous resolution, regression to the mean, the Forer effect, placebo effect and other. The subjective observation of these phenomena is often insufficient when it comes to analyzing the effectiveness of therapies, medications, diets, homeopathy, cosmetics and natural therapies. It is very difficult to establish causality in health sciences but not impossible, the principles of this establishement can be resumed as Temporality, Strength, Consistency, Biology, Plausibility, Specificity, Analogy, Experiment and Coherence.
Keywords
Statistics, Causality, Medicine, Mathematics, Epidemiology
To cite this article
Antonio Monleon-Getino, Jaume Canela-Soler, Causality in Medicine and Its Relationship with the Role of Statistics, Biomedical Statistics and Informatics. Vol. 2, No. 2, 2017, pp. 61-68. doi: 10.11648/j.bsi.20170202.14
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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