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对于网络元分析和元回归的推理方法的肯沃德-罗杰式校正

Hisashi Noma1, Yasuyuki Hamura2, Masahiko Gosho3

  • 1Department of Data Science, The Institute of Statistical Mathematics, Tokyo, Japan.

Research synthesis methods
|July 3, 2023
PubMed
概括

使用肯沃德-罗杰近似的改进的网络元分析方法提供了准确的统计错误估计. 这些方法增强了平均治疗效果的置信区间,特别是很少有试验,与标准的限制最大概率 (REML) 方法不同.

关键词:
肯沃德-罗杰尔类型的校正.高阶的近似值是高阶的近似值.不一致性 不一致性 不一致性这是一种元回归 (meta-regression).网络元分析 网络元分析

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