两种方法的比较,以检测在分析中的出版偏差
Jaime L Peters1, Alex J Sutton, David R Jones
1Centre for Biostatistics and Genetic Epidemiology, Department of Health Sciences, University of Leicester, Leicester, England. jlp9@leicester.ac.uk
JAMA
|February 10, 2006
概括
基于样本大小的新回归测试显示了适当的I型错误率,用于检测在使用概率比率 (lnOR) 的自然日志时的出版偏差. 这种替代测试的性能与埃格尔回归测试相当,为元分析提供了一种可靠的方法.
科学领域:
- 生物统计学 生物统计学
- 医学研究方法学 医学研究方法学
- 进行元分析分析.
背景情况:
- 埃格尔回归测试是识别meta-analyses中的出版偏差的一个常见工具.
- 当概率比率的自然日志 (lnOR) 是总结估计时,埃格的测试和漏斗图的可靠性受到质疑.
- 出版偏见可能会扭曲元分析的发现,影响基于证据的医学.
研究的目的:
- 将埃格尔回归测试的性能与基于样本大小的新型回归测试进行比较.
- 为了评估这些测试,特别是当概率比率的自然日志 (lnOR) 作为总结估计时.
- 评估每个测试在检测出版偏差方面的准确性和功率.
主要方法:
- 在各种场景下进行了模拟的元分析,包括出版偏差的存在和缺乏以及研究之间的异质性.
- 对于埃格尔回归测试和基于样本大小的替代回归测试,计算了I型错误率 (错误阳性).
- 评估了每个测试检测现有出版偏差的功率 (真实阳性率).
主要成果:
- 与替代回归测试相比,埃格尔回归测试的I型错误率较高.
- 替代回归试验在不同的赔率比率,研究数量和异质程度上保持了适当的I型错误率.
- 在研究间异质性较低的情况下,替代性测试在检测出版偏差方面表现出与埃格尔测试相当的功率.
结论:
- 替代回归试验证明了适当的I型错误率,并减少了lnOR与其方差之间的相关性.
- 这种基于样本大小的回归测试被推作为使用lnOR作为总结估计时的埃格尔回归测试的替代品.
- 这些发现支持使用替代测试以更可靠地检测InOR估计的meta-analyses中的出版偏差.
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