Issues in performing a network meta-analysis
Issues in performing a network meta-analysis
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DOI：
10.1177/0962280211432220
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发表时间：
2013-04-01
影响因子：
2.3
通讯作者：
Scheen, Andre
中科院分区：
文献类型：
--
作者：
Senn, Stephen;Gavini, Francois;Scheen, Andre
糖尿病试验的一个集合的分析的例子组成的一个稀疏连接的网络的10种治疗方法是用来做一些点有关的分析方法。特别是各种图形和表格介绍，网络和结果的提供和连接到文献的不完整的块。从这个例子中可以清楚地看出，将试验的主效应视为随机效应是不适当的，并讨论了这对分析的影响。它还认为，从一个经典的随机效应荟萃分析的推广到一个应用于网络通常涉及强假设的方差分量。尽管如此，它的结论是，这样的分析可以是一个有用的方式来探索一组试验。
The example of the analysis of a collection of trials in diabetes consisting of a sparsely connected network of 10 treatments is used to make some points about approaches to analysis. In particular various graphical and tabular presentations, both of the network and of the results are provided and the connection to the literature of incomplete blocks is made. It is clear from this example that is inappropriate to treat the main effect of trial as random and the implications of this for analysis are discussed. It is also argued that the generalisation from a classic random-effect meta-analysis to one applied to a network usually involves strong assumptions about the variance components involved. Despite this, it is concluded that such an analysis can be a useful way of exploring a set of trials.