How to Conduct a Bayesian Network Meta-Analysis

被引：48

作者：

Hu, Dapeng ^{[1
]}

O'Connor, Annette M. ^{[2
]}

Wang, Chong ^{[1
,3
]}

Sargeant, Jan M. ^{[4
]}

Winder, Charlotte B. ^{[4
]}

机构：

[1] Iowa State Univ, Dept Stat, Ames, IA USA

[2] Michigan State Univ, Dept Large Anim Clin Sci, Coll Vet Med, E Lansing, MI 48824 USA

[3] Iowa State Univ, Dept Vet Diagnost & Prod Anim Med, 2203 Lloyd Vet Med Ctr, Ames, IA USA

[4] Univ Guelph, Dept Populat Med, Guelph, ON, Canada

来源：

FRONTIERS IN VETERINARY SCIENCE | 2020年 / 7卷

关键词：

network meta-analysis; Bayesian; systematic review; tutorial; veterinary science; BOVINE RESPIRATORY-DISEASE; SYSTEMATIC REVIEWS; HEALTH-CARE; MULTIPLE-TREATMENTS; DECISION-MAKING;

D O I：

10.3389/fvets.2020.00271

中图分类号：

S85 [动物医学（兽医学）];

学科分类号：

0906 ;

摘要：

Network meta-analysis is a general approach to integrate the results of multiple studies in which multiple treatments are compared, often in a pairwise manner. In this tutorial, we illustrate the procedures for conducting a network meta-analysis for binary outcomes data in the Bayesian framework using example data. Our goal is to describe the workflow of such an analysis and to explain how to generate informative results such as ranking plots and treatment risk posterior distribution plots. The R code used to conduct a network meta-analysis in the Bayesian setting is provided at GitHub.

引用

页码：1 / 14

页数：14

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