Statistical issues in ecological meta-analyses
Statistical issues in ecological meta-analyses
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DOI：
10.2307/177061
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发表时间：
1999-06-01
期刊：
影响因子：
4.8
通讯作者：
Hedges, LV
中科院分区：
文献类型：
--
作者：
Gurevitch, J;Hedges, LV
荟萃分析是使用统计方法来总结跨研究的研究结果。荟萃分析通常需要特殊的统计方法，一方面是因为效应大小指数通常具有高度异方差性，另一方面因为需要能够区分研究间方差和研究内抽样误差方差。我们概述了与选择生态数据荟萃分析方法相关的许多考虑因素，包括参数与重采样方法的选择、尽可能进行加权分析的原因，以及分类和回归类型分析中固定模型与混合模型的比较。
Meta-analysis is the use of statistical methods to summarize research findings across studies. Special statistical methods are usually needed for meta-analysis, both because effect-size indexes are typically highly heteroscedastic and because it is desirable to be able to distinguish between-study variance from within-study sampling-error variance. We outline a number of considerations related to choosing methods for the meta-analysis of ecological data, including the choice of parametric vs. resampling methods, reasons for conducting weighted analyses where possible, and comparisons fixed vs. mixed models in categorical and regression-type analyses.