The Relative Benefits of Meta-Analysis Conducted With Individual Participant Data Versus Aggregated Data
The Relative Benefits of Meta-Analysis Conducted With Individual Participant Data Versus Aggregated Data
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DOI：
10.1037/a0015565
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发表时间：
2009-06-01
影响因子：
7
通讯作者：
Patall, Erika A.
中科院分区：
文献类型：
--
作者：
Cooper, Harris;Patall, Erika A.
作者描述了使用（a）从组成研究中收集的个体参与者数据（IPD）和（b）汇总数据（AD）或研究结果报告中出现的组级统计数据（特别是效应量）进行荟萃分析的相对好处。鉴于 IPD 和 AD 同等可用，IPD 的荟萃分析优于 AD 的荟萃分析。 IPD 荟萃分析允许合成者执行原始数据收集者未进行的亚组分析、检查原始研究中的数据和分析、向数据集添加新信息以及使用不同的统计方法。然而，IPD 荟萃分析的成本和可用 IPD 数据集的缺乏表明，目前可用的最佳策略是以互补的方式使用这两种方法，以便进行 IPD 荟萃分析的第一步是进行 AD 荟萃分析。无论荟萃分析是使用 IPD 还是 AD 进行，合成者都必须对如何解释结果保持警惕。他们必须避免生态谬误、辛普森悖论，以及将综合产生的证据解释为支持因果推论。
The authors describe the relative benefits of conducting meta-analyses with (a) individual participant data (IPD) gathered from the constituent studies and (b) aggregated data (AD), or the group-level statistics (in particular, effect sizes) that appear in reports of a study's results. Given that both IPD and AD are equally available, meta-analysis of IPD, is superior to meta-analysis of AD. IPD meta-analysis permits synthesists to perform subgroup analyses not conducted by the original collectors of the data, to check the data and analyses in the original studies, to add new information to the data sets, and to use different statistical methods. However, the cost of IPD meta-analysis and the lack of available IPD data sets suggest that the best strategy currently available is to use both approaches in a complementary fashion such that the first step in conducting an IPD meta-analysis would be to conduct an AD meta-analysis. Regardless of whether a meta-analysis is conducted with IPD or AD, synthesists must remain vigilant in how they interpret their results. They must avoid ecological fallacies, Simpson's paradox, and interpretation of synthesis-generated evidence as supporting causal inferences.