Publication bias in research synthesis: Sensitivity analysis using a priori weight functions
Publication bias in research synthesis: Sensitivity analysis using a priori weight functions
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DOI：
10.1037/1082-989x.10.4.428
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发表时间：
2005-12-01
影响因子：
7
通讯作者：
Woods, CM
中科院分区：
文献类型：
--
作者：
Vevea, JL;Woods, CM
发表偏差，有时被称为“文件-抽屉问题”或“漏斗图不对称”，在实证研究中很常见。作者回顾了发表偏差对定量研究合成(荟萃分析)的影响，并描述了现有的检测和纠正它的技术。提出了一种新的方法，该方法适用于元分析数据集，这些数据集太小，不适合现有方法的应用。该模型估计与固定效应、混合效应或随机效应元分析相关的参数，这取决于假设的偏差模式，该模式独立于数据而固定。作者使用3个数据集说明了这种方法用于敏感性分析，这些数据集改编自一项通常被引用的研究综合参考工作(H.M.Cooper&L.V.Hedges，1994)。
Publication bias, sometimes known as the "file-drawer problem" or "funnel-plot asymmetry," is common in empirical research. The authors review the implications of publication bias for quantitative research synthesis (meta-analysis) and describe existing techniques for detecting and correcting it. A new approach is proposed that is suitable for application to meta-analytic data sets that are too small for the application of existing methods. The model estimates parameters relevant to fixed-effects, mixed-effects or random-effects meta-analysis contingent on a hypothetical pattern of bias that is fixed independently of the data. The authors illustrate this approach for sensitivity analysis using 3 data sets adapted from a commonly cited reference work on research synthesis (H. M. Cooper & L. V. Hedges, 1994).