The Diamond Ratio: A Visual Indicator of the Extent of Heterogeneity in Meta-Analysis

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Description: This project, in conjunction with the corresponding paper, aims to provide researchers with a simple visual method to identify, quantify and describe heterogeneity in meta-analyses. The measure we focus our attention on is the Diamond Ratio (DR), which is the ratio between the length of the random-effects model confidence interval and length of the fixed-effect model confidence interval for the population effect. In this project, we provide examples and R code which may help researchers better understand and interpret the DR results.

License: CC-By Attribution 4.0 International


The Diamond Ratio: A Visual Indicator of the Extent of Heterogeneity in Meta-Analysis Abstract: The result of a meta-analysis is conventionally pictured in the forest plot as a diamond, whose length is the 95% confidence interval (CI) for the summary measure of interest. The Diamond Ratio (DR) is the ratio of the length of the diamond given by a random effects meta-analysis to that given by a fixe...


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