David Allbritton, Pablo Gómez, Bernhard Angele, Martin Vasilev, Manuel Perea
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引用次数: 0
摘要
元分析已成为行为科学领域不可或缺的工具,它综合并概括了多项研究的数据。虽然元分析具有很多优势(例如,提高分析能力、增强通用性以及解决相互矛盾的研究结果),但目前元分析只能提供特定时间点的快照。在活跃的研究领域,有必要经常更新荟萃分析以纳入新的证据。我们提出了实时动态荟萃分析的指导原则,并介绍了一种使用 R 环境的易用工具。我们的应用程序由 Shiny 软件包提供支持,使元分析师能够以交互方式整合证据,既可以更新现有的元分析,也可以从头开始(即新的元分析)。通过采用动态荟萃分析和利用现代工具,研究人员可以确保各自领域的荟萃分析都是最新的。
Meta-analyses have become indispensable in the behavioral sciences, combining and summarizing data from multiple studies. While they offer many advantages (e.g., increased power, higher generality, and resolving conflicting findings), they currently only provide a snapshot at a given point. In active research areas, frequent meta-analytic updates are necessary to incorporate new evidence. We propose guidelines for live, dynamic meta-analyses and introduce an accessible tool using the R environment. Our app, powered by the Shiny package, enables the meta-analyst to integrate evidence interactively as an update of an existing meta-analysis or from scratch (i.e., a new meta-analysis). By embracing dynamic meta-analyses and leveraging modern tools, researchers can ensure up-to-date meta-analyses in their respective fields.