Assessment of regression-based methods to adjust for publication bias through a comprehensive simulation study.
Assessment of regression-based methods to adjust for publication bias through a comprehensive simulation study.
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DOI：
10.1186/1471-2288-9-2
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发表时间：
2009-01-12
影响因子：
4
通讯作者：
Cooper NJ
中科院分区：
文献类型：
--
作者：
Moreno SG;Sutton AJ;Ades AE;Stanley TD;Abrams KR;Peters JL;Cooper NJ
在荟萃分析中，漏斗图不对称的存在归因于发表或其他小研究效应，这导致在较小的研究中观察到更大的效应。这个问题可能意味着从荟萃分析中得出不恰当的结论。如果荟萃分析用于决策，则需要一种可靠的方法来调整潜在漏斗图不对称的汇总估计。本文提出了一项全面的模拟研究，以评估不同调整方法的性能，包括几种基于回归的方法的新应用（通常用于检测发表偏倚而不是对其进行调整）和流行的Trim & Fill算法。采用对数比值比量表对二元结果进行meta分析，通过考虑有和没有发表偏倚的情况进行模拟；(二)非均质性。发表偏倚是通过两种潜在机制诱发的，假设发表的概率取决于i)研究效应大小；或者ii) p值。随着不明原因异质性的增加和meta分析中研究数量的减少，所有方法的表现都趋于恶化。以漏斗图不对称的初始检验为条件应用方法通常比无条件使用调整方法提供更差的性能。一些基于回归的方法始终优于Trim & Fill估计器。基于回归的发表偏倚和其他小型研究效应调整易于进行，并且在广泛的模拟场景中优于更成熟的方法。
In meta-analysis, the presence of funnel plot asymmetry is attributed to publication or other small-study effects, which causes larger effects to be observed in the smaller studies. This issue potentially mean inappropriate conclusions are drawn from a meta-analysis. If meta-analysis is to be used to inform decision-making, a reliable way to adjust pooled estimates for potential funnel plot asymmetry is required. A comprehensive simulation study is presented to assess the performance of different adjustment methods including the novel application of several regression-based methods (which are commonly applied to detect publication bias rather than adjust for it) and the popular Trim & Fill algorithm. Meta-analyses with binary outcomes, analysed on the log odds ratio scale, were simulated by considering scenarios with and without i) publication bias and; ii) heterogeneity. Publication bias was induced through two underlying mechanisms assuming the probability of publication depends on i) the study effect size; or ii) the p-value. The performance of all methods tended to worsen as unexplained heterogeneity increased and the number of studies in the meta-analysis decreased. Applying the methods conditional on an initial test for the presence of funnel plot asymmetry generally provided poorer performance than the unconditional use of the adjustment method. Several of the regression based methods consistently outperformed the Trim & Fill estimators. Regression-based adjustments for publication bias and other small study effects are easy to conduct and outperformed more established methods over a wide range of simulation scenarios.
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影响因子：
3.7
作者：
Duval, S;Tweedie, R
通讯作者：
Tweedie, R
影响因子：
1.9
作者：
Duval, S;Tweedie, R
通讯作者：
Tweedie, R
DOI：
10.2307/2982993
发表时间：
1988-01-01
影响因子：
2
作者：
BEGG, CB;BERLIN, JA
通讯作者：
BERLIN, JA
影响因子：
2
作者：
Jackson, Dan
通讯作者：
Jackson, Dan
影响因子：
2
作者：
Harbord, Roger M.;Egger, Matthias;Sterne, Jonathan A. C.
通讯作者：
Sterne, Jonathan A. C.