Combining Statistical Evidence
Combining Statistical Evidence
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DOI：
10.1111/insr.12037
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发表时间：
2014-08-01
影响因子：
2
通讯作者：
Staudte, Robert G.
中科院分区：
文献类型：
--
作者：
Kulinskaya, Elena;Morgenthaler, Stephan;Staudte, Robert G.
来自独立研究的证据组合有一段奇怪的历史。其起源至少可以追溯到20世纪初。自20世纪70年代中期以来，元分析在几个领域开始流行，其中包括医学统计和行为科学。最广泛使用的程序在早期的论文中得到完善，随后，一种群体思维占据了元分析的上风。这就解释了为什么需要在统计期刊上发表一篇评论，因为它的目标受众是统计读者。元分析在统计学研究生中并不是一个热门的研究课题，我们希望通过写这篇文章来改变这一点。我们希望指出主流观点的缺点，并展示一些有待统计研究者注意的开放性问题。许多关于荟萃分析的评论已经发表，还有几本书的篇幅可供参考。我们在参考书目中列出了其中的许多，但不能保证完整。
The combination of evidence from independent studies has a curious history. The origins reach back at least to the beginning of the 20th century. Since the mid-1970s, meta-analysis has become popular in several fields, among them medical statistics and the behavioural sciences. The most widely used procedures were perfected in early papers, and subsequently, a kind of groupthink has taken hold of meta-analysis. This explains the need for a review in a statistics journal, destined for a statistical audience. Meta-analysis is not a hot research topic among graduate students in statistics, and by writing this article, we hope to change this. We wish to point out the shortcomings of the mainstream view and exhibit some of the open problems that await the attention of statistical researchers.A host of competent reviews of meta-analysis have been published, and several book-length treatments are also available. We have listed many of these in the bibliography but cannot guarantee completeness.