A modified test for small-study effects in meta-analyses of controlled trials with binary endpoints
A modified test for small-study effects in meta-analyses of controlled trials with binary endpoints
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DOI：
10.1002/sim.2380
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发表时间：
2006-10-30
影响因子：
2
通讯作者：
Sterne, Jonathan A. C.
中科院分区：
文献类型：
--
作者：
Harbord, Roger M.;Egger, Matthias;Sterne, Jonathan A. C.
荟萃分析中的发表偏倚和相关偏倚通常通过目视检查治疗效果漏斗图与其标准误的不对称性来检查。漏斗图不对称性的正式统计检验已经提出，但当应用于二进制结果数据时，这些可能会在某些情况下（大的治疗效果，或每项试验的事件很少，或类似规模的所有试验）给出高于标称水平的假阳性率。我们开发了一个改进的线性回归测试漏斗图的不对称性的基础上，有效的分数和它的方差，费舍尔的信息。根据已发表的对照试验的特征，在模拟分析中将本试验的性能与其他拟定试验进行比较。当试验间异质性很小或没有时，该改良检验的假阳性率接近标称水平，同时保持与原始线性回归检验（“Egger”检验）相似的功效。当试验间异质性的程度很大时，没有一个已经提出的检验具有一致的良好性质。版权所有（c）2005年约翰威利父子有限公司。
Publication bias and related bias in meta-analysis is often examined by visually checking for asymmetry in funnel plots of treatment effect against its standard error. Formal statistical tests of funnel plot asymmetry have been proposed, but when applied to binary outcome data these can give false-positive rates that are higher than the nominal level in some situations (large treatment effects, or few events per trial, or all trials of similar sizes). We develop a modified linear regression test for funnel plot asymmetry based on the efficient score and its variance, Fisher's information. The performance of this test is compared to the other proposed tests in simulation analyses based on the characteristics of published controlled trials. When there is little or no between-trial heterogeneity, this modified test has a false-positive rate close to the nominal level while maintaining similar power to the original linear regression test ('Egger' test). When the degree of between-trial heterogeneity is large, none of the tests that have been proposed has uniformly good properties. Copyright (c) 2005 John Wiley & Sons, Ltd.