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Empirical comparisons of heterogeneity magnitudes of the risk difference, relative risk, and odds ratio
[...]a Cochrane review could investigate multiple disease outcomes and/or multiple intervention comparisons. [...]the meta-analyses within the review may not be independent due to the correlations between outcomes or intervention comparisons. The CVB is the between-study coefficient of variation use...
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Published in: | Systematic reviews 2022-02, Vol.11 (1), p.26-26, Article 26 |
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creator | Zhao, Yuxi Slate, Elizabeth H Xu, Chang Chu, Haitao Lin, Lifeng |
description | [...]a Cochrane review could investigate multiple disease outcomes and/or multiple intervention comparisons. [...]the meta-analyses within the review may not be independent due to the correlations between outcomes or intervention comparisons. The CVB is the between-study coefficient of variation used for providing further insight into heterogeneity magnitudes; it is calculated as the ratio of the between-study standard deviation τ over the absolute value of the overall effect size [8]. S1 present the histograms of \(\hat{\tau}\) on a logarithmic scale for the RD, RR, and OR based on the REML and DL estimation methods. Because τ that truly equals 0 may not be exactly estimated as 0, depending on the tolerance of the REML algorithm’s convergence, the histograms in Fig. 1 shows small peaks at very small \(\hat{\tau}\) values. |
doi_str_mv | 10.1186/s13643-022-01895-7 |
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subjects | Epidemiology Histograms Humans Letter Libraries Meta-analysis Odds Ratio Risk Trends |
title | Empirical comparisons of heterogeneity magnitudes of the risk difference, relative risk, and odds ratio |
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