ZENG Xiantao 1,2,3 , ZHANG Chao 1,2 , GUO Yi 3,4
  • 1. Department of Stomatology, Taihe Hospital, Hubei University of Medicine, Shiyan 442000, China;2. Evidence-Based Medicine Center, Taihe Hospital, Hubei University of Medicine, Shiyan 442000, China;3. Department of Epidemiology, School of Public Health, Wuhan University, Wuhan 430071, China;4. State Key Laboratory of Virology, Wuhan University, Wuhan 430071, China;
ZENG Xiantao, Email: zengxiantao1128@163.com
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R Software is an open, free of use and charge statistical software which has a powerful graphic capability; however, it requires more complex codes and commands to perform network meta-analysis, which causes errors and difficulties in operation. WinBUGS software is based on Bayesian theory, which has a powerful data processing capability, and especially its codes are simple and easy to operate for dealing with network meta-analysis. However, its function of illustrating statistical results is very poor. In order to fully integrate the advantages of R software and WinBUGS software, an R2WinBUGS package based on R software has been developed which builds a “bridge” across two of them, making network meta-analysis process conveniently, quickly and result illustration more beautiful. In this article, we introduced how to use the R2WinBUGS package for performing network meta-analysis using examples.

Citation: ZENG Xiantao,ZHANG Chao,GUO Yi. Application of R2WinBUGS Package of R Software for Network Meta-Analysis. Chinese Journal of Evidence-Based Medicine, 2013, 13(9): 1137-1144. doi: 10.7507/1672-2531.20130194 Copy

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