贝叶斯方法在风湿性疾病中的应用

Applied Bayesian Methods in the Rheumatic Diseases.

作者信息

Johnson Sindhu R, Tomlinson George A, Granton John T, Hawker Gillian A, Feldman Brian M

机构信息

Division of Rheumatology, Department of Medicine, Toronto Western Hospital, Mount Sinai Hospital, 155 College Street, Toronto, Ontario M5T 3M6, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada; Toronto Western Hospital, 399 Bathurst Street, Toronto, Ontario M5T 2S8, Canada.

Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada; Dalla Lana School of Public Health, University of Toronto, 155 College Street, Toronto, Ontario M5T 3M7, Canada; Department of Medicine, Division of Support Systems and Outcomes, Toronto General Hospital Research Institute, University Health Network, Mount Sinai Hospital, Eaton North, 13th Floor, Room 238, 200 Elizabeth Street, Toronto, Ontario M5G 2C4, Canada.

出版信息

Rheum Dis Clin North Am. 2018 May;44(2):361-370. doi: 10.1016/j.rdc.2018.01.003.

DOI:10.1016/j.rdc.2018.01.003

PMID:29622302

Abstract

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.

摘要

贝叶斯方法在风湿病学中的应用正在增加。利用贝叶斯定理，过去的证据会根据新数据进行更新。先前存在的数据以先验概率分布或先验表示。新的观察结果以似然性表示。通过明确纳入先前存在的数据和新数据，这个过程告知我们这些新信息应如何改变我们的思维方式。在本文中，作者强调了贝叶斯方法在风湿性疾病研究中的应用。