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首页> 外文期刊>Contemporary clinical trials >Corrigendum to 'Meta-analysis of heterogeneous clinical trials: An empirical example' [Contemp. Clin. Trials 32 (2011) 288-298]
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Corrigendum to 'Meta-analysis of heterogeneous clinical trials: An empirical example' [Contemp. Clin. Trials 32 (2011) 288-298]

机译:《异质临床试验的元分析:一个经验例子》更正。临床试用32(2011)288-298]

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摘要

We have updated the application of population weights within meta-analyses to a two step procedure. We had previously advocated multiplying population and bias scores and running the analysis in one step [1]. The latter does not produce expected results especially when there is more than one study per defined population group. Essentially, what should be done is to pool individual studies within population groups using bias adjustment and then pool the single per category estimates using population weights without applying inverse variance weights to the population weight ed pooled estimate (Table 1). These analyses refer specifically to the quality effects model in MetaXL (www.epigear.com). We thus correct our previous recommendation and where standardization for population differences is sought, this two stage application of population weights should be used. Results from this process will then be identical to that commonly used for direct rate standardization. MetaXL does not have the option to exclude inverse variance weights when applying population weights and a separate standardization module will be created for this purpose in due course.
机译:我们将荟萃分析中人口权重的应用更新为两步过程。我们以前曾提倡将总体和偏见得分相乘,然后一步一步进行分析[1]。后者不能产生预期的结果,尤其是在每个定义的人群中进行一项以上的研究时。本质上,应该做的是使用偏差调整在人群组中合并单个研究,然后使用人群权重对每个类别的单个估计进行合并,而不对人口加权合并后的估计应用逆方差权重(表1)。这些分析专门针对MetaXL(www.epigear.com)中的质量效应模型。因此,我们更正了先前的建议,并且在寻求人口差异的标准化的地方,应使用人口权重的这两个阶段的应用。然后,此过程的结果将与直接费率标准化通常使用的结果相同。当应用总体权重时,MetaXL没有选择排除逆方差权重,并且将在适当时候为此目的创建一个单独的标准化模块。

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