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    剪补法 Trim-and-fill method

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    定义

    剪补法用于估计漏斗图中因发表偏倚而缺失的研究，并据此对效应量的总体幅度进行校正。该方法会剔除分布在漏斗图左右两侧效应量最极端的部分研究，具体剔除数量需根据个案情况确定。其核心操作步骤是：首先通过修剪导致图形不对称的研究，确保剩余研究得出的效应量总体幅度不受发表偏倚影响。然而，若真实总体效应量不存在，则此步骤无法确定应剔除哪些研究。随后，依据经偏倚校正后的总体估计值，在漏斗图中对缺失研究进行数据填补。

    相关术语: 元分析, 发表偏倚（文件抽屉问题

    参考文献:

    • Duval, S., & Tweedie, R. (2000). Trim and fill: A simple funnel-plot–based method of testing and adjusting for publication bias in meta-analysis. Biometrics, 56, 455–463. https://doi.org/10.1111/j.0006-341x.2000.00455.x
    • Shi, L., & Lin, L. (2019). The trim-and-fill method for publication bias: Practical guidelines and recommendations based on a large database of meta-analyses. Medicine, 98(23), e15987. https://doi.org/10.1097/MD.0000000000015987
    • Moreno, S. G., Sutton, A. J., Ades, A. E., et al. (2009). Assessment of regression-based methods to adjust for publication bias through a comprehensive simulation study. BMC Medical Research Methodology, 9, 2. https://doi.org/10.1186/1471-2288-9-2
    • Carter, E. C., Schönbrodt, F. D., Gervais, W. M., & Hilgard, J. (2019). Correcting for Bias in Psychology: A Comparison of Meta-Analytic Methods. Advances in Methods and Practices in Psychological Science, 2(2), 115–144. https://doi.org/10.1177/2515245919847196
    • Viechtbauer, W. (n.d.). Trim and Fill Analysis for “rma.uni” Objects (trimfill), metafor package documentation. https://wviechtb.github.io/metafor/reference/trimfill.html

    原稿作者: Mahmoud Elsherif

    审阅者: Lukas Wallrich

    翻译者: AI-driven translation tool "TransFlow" (developed by Jinbiao Yang and COSN OpenTransfer team)

    译稿审阅者: Yu Xu, Liangjie Chen, Ruoting Liu, Xiujuan Wen, Shuxian Jin

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