Performance of Between-study Heterogeneity Measures in the Cochrane Library.
Performance of Between-study Heterogeneity Measures in the Cochrane Library.
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DOI：
10.1097/ede.0000000000000857
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发表时间：
2018-11
期刊：
影响因子：
--
通讯作者：
Chu H
中科院分区：
文献类型：
--
作者：
Ma X;Lin L;Qu Z;Zhu M;Chu H
比较有效性研究和循证医学的增长增加了对系统评价和荟萃分析的关注。荟萃分析综合和对比了多项独立研究的证据，以提高统计效率并减少偏倚。评估异质性对于执行荟萃分析和解释结果至关重要。作为一种广泛使用的异质性指标，I2统计量量化了由于效应量的真实的差异而导致的研究间总变异的比例。离群研究的存在会严重夸大I2统计量。两种可选的异质性度量， 并且，最近已经提出减少外围研究的影响。为了从经验上评估这些指标的性能，我们将其应用于科克伦图书馆中的20,599项荟萃分析。我们发现 和 与I2有很强的一致性，而当出现离群研究时，它们比I2更稳健。
The growth in comparative effectiveness research and evidence-based medicine has increased attention to systematic reviews and meta-analyses. Meta-analysis synthesizes and contrasts evidence from multiple independent studies to improve statistical efficiency and reduce bias. Assessing heterogeneity is critical for performing a meta-analysis and interpreting results. As a widely used heterogeneity measure, the I2 statistic quantifies the proportion of total variation across studies that is due to real differences in effect size. The presence of outlying studies can seriously exaggerate the I2 statistic. Two alternative heterogeneity measures, the and , have been recently proposed to reduce the impact of outlying studies. To evaluate these measures’ performance empirically, we applied them to 20,599 meta-analyses in the Cochrane Library. We found that the and have strong agreement with the I2, while they are more robust than the I2 when outlying studies appear.