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A note on the empirical Bayes heterogeneity variance estimator in meta‐analysis

机译:Meta分析中经验贝叶斯异质性方差估计的注意事项

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This paper focuses on the empirical Bayes (EB) or Mandel‐Paule estimator of the heterogeneity variance in meta‐analysis, which was discussed by Morris and proposed in earlier publications by Mandel and Paule in an inter‐laboratory context. The relationship of the EB estimator to other heterogeneity variance estimators typically used in meta‐analysis is explored, and approximate variance estimators for the EB estimate of the heterogeneity variance are proposed based on the M‐estimation method. Statistical inference for the overall treatment effect using the EB estimator and the proposed standard errors is discussed using two example data sets from meta‐analysis applications.
机译:本文重点介绍了Meta分析中异质性差异的经验贝叶斯(EB)或伪爪估算,由Morris讨论,并在实验室内的曼德尔和持押金中提出了早期的出版物。 探讨了EB估计对通常用于元分析中的其他异质性方差估计器的关系,并且基于M估计方法提出了用于异质性方差的EB估计的近似方差估计。 使用来自Meta-Analysis应用程序的两个示例数据集讨论了使用EB估计和所提出的标准误差来讨论整体治疗效果的统计推断。

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