论文标题
与荟萃分析的种群异质性的比率度量
On ratio measures of population heterogeneity for meta-analyses
论文作者
论文摘要
荟萃分析异质性（例如$ i^2 $）的流行措施不能被视为人口异质性的度量，因为它们依赖于研究中的样本量。最近引入并定义为异质性方差的变异系数（CV）除以整体平均效应的绝对值，不会遭受此类缺点。但是，当效果很小的解释困难时，可能会发生非常大的简历值。本文的目的是两个方面。首先，我们考虑在间隔（0，1）中存在的CV的变体，使解释更简单。其次，我们提供了具有出色覆盖属性的CV及其变体的间隔估计器。我们基于模拟和真实的数据集以及方法之间的绘制比较进行了模拟研究。
Popular measures of meta-analysis heterogeneity, such as $I^2$, cannot be considered measures of population heterogeneity since they are dependant on samples sizes within studies. The coefficient of variation (CV) recently introduced and defined to be the heterogeneity variance divided by the absolute value of the overall mean effect does not suffer such shortcomings. However, very large CV values can occur when the effect is small making interpretation difficult. The purpose of this paper is two-fold. Firstly, we consider variants of the CV that exist in the interval (0, 1] making interpretation simpler. Secondly, we provide interval estimators for the CV and its variants with excellent coverage properties. We perform simulation studies based on simulated and real data sets and draw comparisons between the methods.
