R软件R2WinBUGS程序包在网状Meta分析中的应用
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摘要
R软件是一个自由、免费及开放的统计软件,并具有强大的绘图功能,但其处理网状Meta分析数据的代码命令较为复杂,因此易错且不易掌握。WinBUGS软件是基于贝叶斯理论而开发的一款统计软件,具有强大的数据处理功能,在处理网状Meta分析数据时,代码编写易懂且操作方便,但对结果的绘图功能欠佳。为充分发挥R软件与WinBUGS软件各自的优势,开发者在R软件的基础上研发了R2WinBUGS程序包,构建了R软件与WinBUGS软件之间的"桥梁",使网状Meta分析的过程和结果处理方便快捷又美观。本文以实例操作的方式展示使用R软件R2WinBUGS程序包进行网状Meta分析的过程。
R Sotware is an open,free of use and charge statistical sotware which has a powerful graphic capability;however,it requires more complex codes and commands to perform network meta-analysis,which causes errors and dificulties in operation.WinBUGS sotware 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 sotware and WinBUGS sotware,an R2WinBUGS package based on R sotware 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.
R Sotware is an open,free of use and charge statistical sotware which has a powerful graphic capability;however,it requires more complex codes and commands to perform network meta-analysis,which causes errors and dificulties in operation.WinBUGS sotware 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 sotware and WinBUGS sotware,an R2WinBUGS package based on R sotware 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.
引文
1 曾宪涛,曹世义,孙凤,等.Meta分析系列之六:间接比较及网状Meta分析.中国循证心血管医学杂志,2012,4(5):399-402.
2 董圣杰,冷卫东,田家祥,等.Meta分析系列之五:贝叶斯Meta分析与WinBUGS软件.中国循证心血管医学杂志,2012,4(5):395-398.
3 Sibylle Sturtz,Uwe Ligges,Andrew Gelman.R2WinBUGS:A Package for Running WinBUGS from R.J Stat Sotw,2005,3(12):1-16.
4 Dias S,Welton NJ,Sutton AJ,et al.Appendix A:WinBUGS code used in Bayesian Mixed Treatment Comparisons Meta-Analysis.In:NICE DSU Technical Support Document 2:A Generalised Linear Modelling Framework for Pairwise and Network Meta-Analysis of Randomised Controlled Trials.2011;last updated March 2013;available from http://www.nicedsu.org.uk.
5 董圣杰,曾宪涛,郭毅.R软件Metafor程序包在Meta分析中的应用.中国循证医学杂志,2012,12(9):1141-1147.
6 张天嵩,熊茜.网络Meta分析在R软件中的实现.循证医学,2012,12 (3):185-188.
2 董圣杰,冷卫东,田家祥,等.Meta分析系列之五:贝叶斯Meta分析与WinBUGS软件.中国循证心血管医学杂志,2012,4(5):395-398.
3 Sibylle Sturtz,Uwe Ligges,Andrew Gelman.R2WinBUGS:A Package for Running WinBUGS from R.J Stat Sotw,2005,3(12):1-16.
4 Dias S,Welton NJ,Sutton AJ,et al.Appendix A:WinBUGS code used in Bayesian Mixed Treatment Comparisons Meta-Analysis.In:NICE DSU Technical Support Document 2:A Generalised Linear Modelling Framework for Pairwise and Network Meta-Analysis of Randomised Controlled Trials.2011;last updated March 2013;available from http://www.nicedsu.org.uk.
5 董圣杰,曾宪涛,郭毅.R软件Metafor程序包在Meta分析中的应用.中国循证医学杂志,2012,12(9):1141-1147.
6 张天嵩,熊茜.网络Meta分析在R软件中的实现.循证医学,2012,12 (3):185-188.