用 p-统一* 方法纠正元分析中的出版偏差
Robbie C M van Aert1, Marcel A L M van Assen2,3
1Department of Methodology and Statistics, Tilburg University, PO Box 90153, 5000 LE, Tilburg, the Netherlands. R.C.M.vanAert@tilburguniversity.edu.
Psychonomic bulletin & review
|February 27, 2026
概括
出版偏见威胁到元分析的有效性. 新的p-uniform*方法改善了效果大小估计,并检测了研究间的差异,在存在偏差时表现优于旧方法.
科学领域:
- 统计 统计 统计 统计
- 生物统计学 生物统计学
- 进行元分析的方法论.
背景情况:
- 出版偏见对元分析的有效性构成重大威胁,往往导致过高估计的效果大小.
- 现有的方法,如p-统一和随机效应模型,可能无法充分解决出版偏差和研究间差异.
研究的目的:
- 引入和评估p-uniform*,这是一种旨在概括和改进p-uniform方法的新方法,用于解决元分析中的出版偏差.
- 为了比较p-uniform*与p-uniform的统计性质,三参数选择模型 (3PSM) 和随机效应模型.
主要方法:
- 开发p-uniform*,用于元分析的增强统计方法.
- 统计属性的比较分析,包括效率,效果大小估计和研究间差异检测.
- 重新分析两个已发表的元分析,以证明其实际应用和影响.
主要成果:
- 在发布偏差的情况下,P-uniform*显示了与3PSM相比的,往往更高的性能,在发布偏差的情况下超过了p-uniform和随机效应模型.
- 无论是p-uniform*还是3PSM,都在估计平均效果大小和10项或更多项研究的研究间差异方面表现良好,特别是当出版偏差不极端时.
- 与3PSM相比,P-uniform*使用了一个更节的模型.
结论:
- P-uniform*提供了一种改进和更有效的方法来处理出版偏差和估计元分析中的研究间差异.
- 该方法为应用研究人员提供了有价值的工具,具有可用的R代码和用于实际实施的Web应用程序.
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