MRC Biostatistics Unit, Cambridge, UK.
Centre for Reviews and Dissemination, University of York, UK.
Res Synth Methods. 2012 Jun;3(2):111-25. doi: 10.1002/jrsm.1045.
Network meta-analysis (multiple treatments meta-analysis, mixed treatment comparisons) attempts to make the best use of a set of studies comparing more than two treatments. However, it is important to assess whether a body of evidence is consistent or inconsistent. Previous work on models for network meta-analysis that allow for heterogeneity between studies has either been restricted to two-arm trials or followed a Bayesian framework. We propose two new frequentist ways to estimate consistency and inconsistency models by expressing them as multivariate random-effects meta-regressions, which can be implemented in some standard software packages. We illustrate the approach using the mvmeta package in Stata. Copyright © 2012 John Wiley & Sons, Ltd.
网络荟萃分析（多种治疗荟萃分析，混合治疗比较）试图充分利用一组比较两种以上治疗方法的研究。然而，评估证据是否一致是很重要的。之前关于允许研究间存在异质性的网络荟萃分析模型的研究工作，要么仅限于双臂试验，要么遵循贝叶斯框架。我们通过将一致性和不一致性模型表示为多元随机效应荟萃回归，提出了两种新的基于频率的估计一致性和不一致性模型的方法，这些方法可以在一些标准软件包中实现。我们使用 Stata 中的 mvmeta 包来说明该方法。版权所有 © 2012 年 John Wiley & Sons, Ltd.
