Assessing heterogeneity in meta-analysis:: Q statistic or I2 index?
Assessing heterogeneity in meta-analysis:: Q statistic or I2 index?
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DOI：
10.1037/1082-989x.11.2.193
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发表时间：
2006-06-01
影响因子：
7
通讯作者：
Botella, Juan
中科院分区：
文献类型：
--
作者：
Huedo-Medina, Tania B.;Sanchez-Meca, Julio;Botella, Juan
在Meta分析中，评估一组单一研究是否同质性的通常方法是通过q检验。然而，Q检验只告知元分析师异质性的存在与不存在，但它不报告这种异质性的程度。最近，12个指数被用来量化Meta分析中的异质性程度。本文通过蒙特卡罗模拟，比较了Q检验和12指数附近的可信区间的性能。结果表明，12指数作为Q检验的补充是有用的，尽管它存在着与少数研究相同的功率问题。
In meta-analysis, the usual way of assessing whether a set of single studies is homogeneous is by means of the Q test. However, the Q test only informs meta-analysts about the presence versus the absence of heterogeneity, but it does not report on the extent of such heterogeneity. Recently, the 12 index has been proposed to quantify the degree of heterogeneity in a meta-analysis. In this article, the performances of the Q test and the confidence interval around the 12 index are compared by means of a Monte Carlo simulation. The results show the utility of the 12 index as a complement to the Q test, although it has the same problems of power with a small number of studies.