Meta-analyses are often based on too few studies to justify the asymptotic methods underlying the statistical procedures applied to them. We consider higher-order asymptotics as a remedy. We derive the Bartlett correction for the idealized Gaussian case, correcting the formula currently appearing in the literature.

翻译：元分析通常基于过少的研究，难以证明应用于这些研究的统计程序所依据的渐近方法的合理性。我们考虑将高阶渐近方法作为一种补救措施。针对理想化的高斯情形，推导出Bartlett校正，并对当前文献中出现的公式进行了修正。