A quality-effects model for meta-analysis
A quality-effects model for meta-analysis
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DOI：
10.1097/ede.0b013e31815c24e7
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发表时间：
2008-01-01
期刊：
影响因子：
5.4
通讯作者：
Thalib, Lukman
中科院分区：
文献类型：
--
作者：
Doi, Suhail A. R.;Thalib, Lukman
我们引入了一种质量效果方法，该方法结合了一系列比较两种干预措施的试验的证据。这种方法将效果的异质性纳入总体干预疗效的分析中。然而，与基于观察到的试验间异质性的随机效应模型不同，我们建议根据研究之间测量的方法学异质性进行调整。我们提出了一个简单的非迭代过程来计算该模型下的组合效应大小，并表明这可以代表随机效应模型的更令人信服的替代方案。
We introduce a quality-effects approach that combines evidence from a series of trials comparing 2 interventions. This approach incorporates the heterogeneity of effects in the analysis of the overall interventional efficacy. However, unlike the random-effects model based on observed between-trial heterogeneity, we suggest adjustment based on measured methodological heterogeneity between studies. We propose a simple noniterative procedure for computing the combined effect size under this model and suggest that this could represent a more convincing alternative to the random effects model.