The power of statistical tests for moderators in meta-analysis
The power of statistical tests for moderators in meta-analysis
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DOI：
10.1037/1082-989x.9.4.426
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发表时间：
2004-12-01
影响因子：
7
通讯作者：
Pigott, TD
中科院分区：
文献类型：
--
作者：
Hedges, LV;Pigott, TD
统计检验的统计功效的计算对于规划和解释研究结果（包括荟萃分析）非常重要。它在荟萃分析中的调节分析中尤为重要，通常用作敏感性分析以排除调节效应，但也可能具有较低的统计功效。本文介绍了如何计算荟萃分析中固定效应和混合效应调节检验的统计功效，这类似于效应量的方差分析和多元回归分析。它还展示了如何计算与这些模型相关的拟合优度的检验功效。一个已发表的荟萃分析的例子表明，调节检验和拟合优度检验的效力并不总是很高。
Calculation of the statistical power of statistical tests is important in planning and interpreting the results of research studies, including meta-analyses. It is particularly important in moderator analyses in meta-analysis, which are often used as sensitivity analyses to rule out moderator effects but also may have low statistical power. This article describes how to compute statistical power of both fixed- and mixed-effects moderator tests in meta-analysis that are analogous to the analysis of variance and multiple regression analysis for effect sizes. It also shows how to compute power of tests for goodness of fit associated with these models. Examples from a published meta-analysis demonstrate that power of moderator tests and goodness-of-fit tests is not always high.