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Due Diligence in Meta-analyses to Support Benefit Transfers

机译:荟萃分析中的尽职调查以支持利益转移

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摘要

Meta-analyses are becoming a popular tool for supporting benefit transfers, but the availability of studies is a direct consequence of policy issues, research funding, and investigator interest. We investigate fragility versus robustness of the meta-equation by considering sample selection, removing one observation or study at a time with replacement, and removing/adding regressors. Several key variables are found to be robust, strengthening the argument for their use in policy prescriptions. The key insights are that these methods can be used to parse meta-data to identify the most appropriate set(s) of observations and regressors to support literature evaluations, benefit transfers and other practical applications using statical summaries of empirical data.
机译:荟萃分析正成为支持利益转移的一种流行工具,但是研究的可获得性是政策问题,研究经费和研究者兴趣的直接结果。我们通过考虑样本选择,一次替换一次删除一项观察或一项研究以及删除/添加回归项来研究元方程的脆弱性与稳健性。人们发现几个关键变量是可靠的,从而加强了将其用于政策规定的论据。关键的见解是,这些方法可用于解析元数据,以识别最合适的一组观测值和回归值,以使用经验数据的静态汇总来支持文献评估,收益转移和其他实际应用。

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