Evaluation of a new version of I2 with emphasis on diagnostic problems
Evaluation of a new version of I2 with emphasis on diagnostic problems
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DOI：
10.1080/03610918.2018.1489553
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发表时间：
2020-04-02
影响因子：
0.9
通讯作者：
Sangnawakij, Patarawan
中科院分区：
文献类型：
--
作者：
Holling, Heinz;Boehning, Walailuck;Sangnawakij, Patarawan
本文介绍了来自希金斯的异质性测量的荟萃分析的诊断问题的荟萃分析的背景下应用的深入分析的结果。Higgins异质性指标I-2因受研究特定样本量的混淆而受到批评，因为如果研究特定方差变化足够大，则对于相同的跨研究方差值可以获得不同的I-2值。特别是，如果研究内方差变大，则对于异质性方差（研究间方差）的任何值，I-2接近1。本文提出了一种不受样本量影响的测量方法。选择何种异质性测度本质上是一个哲学问题。尽管如此，一个详细的模拟研究已经启动，结果表明，新建议的异质性措施具有有益的统计特性。这两种措施也举例说明了手头的一些元分析案例研究。
This paper describes results stemming from an in-depth analysis of Higgins' measure of heterogeneity for a meta-analysis applied in the context of meta-analysis for diagnostic problems. Higgins measure of heterogeneity I-2 has been criticized for being confounded by the study-specific sample size, in the sense that different I-2 -values can be achieved for the same value of across-study variance if only the study-specific variance is varying enough. In particular, I-2 approaches one for any value of the heterogeneity variance (variance across studies) if the within-study variance becomes large. The paper proposes a measure which is unconfounded by sample size. It is essentially a philosophical question which heterogeneity measure is chosen. Nevertheless, a detailed simulation study has been launched and the results indicate that the newly suggest measure of heterogeneity has beneficial statistical properties. Both measures are also exemplified at hand of some meta-analytic case studies.