Applied Bayesian Methods in the Rheumatic Diseases - 04/04/18
, George A. Tomlinson, PhD b, d, e, John T. Granton, MD f, g, Gillian A. Hawker, MD, MSc b, h, Brian M. Feldman, MD, MSc i, jRésumé |
The use of applied Bayesian methods is increasing in rheumatology. Using the Bayes theorem, past evidence is updated with new data. Preexisting data are expressed as a prior probability distribution or prior. New observations are expressed as a likelihood. Through explicit incorporation of preexisting data and new data, this process informs how this new information should change the way we think. In this article, the authors highlight the use of applied Bayesian methods in the study of rheumatic diseases.
Le texte complet de cet article est disponible en PDF.Keywords : Bayesian, Statistics, Scleroderma, Systemic sclerosis, Juvenile inflammatory arthritis, Rheumatoid arthritis
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| Disclosure Statement: None of the authors have any commercial or financial conflicts of interest to disclose. |
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| Dr S.R. Johnson has been awarded a Canadian Institutes of Health Research New Investigator Award. Dr G.A. Hawker is supported as the Sir John and Lady Eaton Chair of Medicine. Dr B.M. Feldman holds the Ho Family Chair in Autoimmune Diseases. |
Vol 44 - N° 2
P. 361-370 - mai 2018 Retour au numéroBienvenue sur EM-consulte, la référence des professionnels de santé.
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