On the meta-analysis of response ratios for studies with correlated and multi-group designs
On the meta-analysis of response ratios for studies with correlated and multi-group designs
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DOI：
10.1890/11-0423.1
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发表时间：
2011-11-01
期刊：
影响因子：
4.8
通讯作者：
Lajeunesse, Marc J.
中科院分区：
文献类型：
--
作者：
Lajeunesse, Marc J.
用于量化生态荟萃分析实验结果的常见效应大小指标是响应比（RR）：治疗组和对照组平均值的对数比例变化。 RR 方差的估计对于荟萃分析也很重要，因为它们在平均和比较效应大小时充当权重。效应大小的方差通常是采样误差的函数；然而，它也可能受到研究设计的影响。在这里，我针对几个经常遇到的实验设计推导了 RR 的新方差和协方差：当处理和控制手段相关时；当多种治疗有共同对照时；当手段基于重复测量时；当研究具有相关因子设计或多变量时。这些进展有助于提高从荟萃分析研究中提取的数据的质量，并有助于解决荟萃分析师在用响应比量化多种实验设计时面临的一些常见挑战。
A common effect size metric used to quantify the outcome of experiments for ecological meta-analysis is the response ratio (RR): the log proportional change in the means of a treatment and control group. Estimates of the variance of RR are also important for meta-analysis because they serve as weights when effect sizes are averaged and compared. The variance of an effect size is typically a function of sampling error; however, it can also be influenced by study design. Here, I derive new variances and covariances for RR for several often-encountered experimental designs: when the treatment and control means are correlated; when multiple treatments have a common control; when means are based on repeated measures; and when the study has a correlated factorial design, or is multivariate. These developments are useful for improving the quality of data extracted from studies for meta-analysis and help address some of the common challenges meta-analysts face when quantifying a diversity of experimental designs with the response ratio.