Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis
Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis
复制标题
DOI：
10.1111/j.0006-341x.2000.00455.x
复制
发表时间：
2000-06-01
期刊：
影响因子：
1.9
通讯作者：
Tweedie, R
中科院分区：
文献类型：
--
作者：
Duval, S;Tweedie, R
我们研究了近期开发的非参数方法，这些方法用于估计在荟萃分析中可能缺失的研究数量，以及这些研究可能对其结果产生的影响。这些是简单的基于秩的数据扩充技术，使漏斗图的使用形式化。我们表明，它们为评估这种发表偏倚的存在提供了有效且相对强大的检验。在对缺失的研究进行调整后，我们发现总体效应量的点估计大致正确，效应量置信区间的覆盖范围显著提高，在许多情况下完全恢复了名义置信水平。我们在临床试验和心理测量学研究的现有荟萃分析中说明了截尾与HH方法。
We study recently developed nonparametric methods for estimating the number of missing studies that might exist in a meta-analysis and the effect that these studies might have had on its outcome. These are simple rank-based data augmentation techniques, which formalize the use of funnel plots. We show that they provide effective and relatively powerful tests for evaluating the existence of such publication bias. After adjusting for missing studies, we find that the point estimate of the overall effect size is approximately correct and coverage of the effect size confidence intervals is substantially improved, in many cases recovering the nominal confidence levels entirely. We illustrate the trim and hh method on existing mete-analyses of studies in clinical trials and psychometrics.