Study heterogeneity

In statistics, (between-) study heterogeneity is a phenomenon that commonly occurs when attempting to undertake a meta-analysis. In a simplistic scenario, studies whose results are to be combined in the meta-analysis would all be undertaken in the same way and to the same experimental protocols. Differences between outcomes would only be due to measurement error (and studies would hence be homogeneous). Study heterogeneity denotes the variability in outcomes that goes beyond what would be expected (or could be explained) due to measurement error alone.^[1]

^ Deeks, J.J.; Higgins, J.P.T.; Altman, D.G. (2021), "10.10 Heterogeneity", in Higgins, J.P.T.; Thomas, J.; Chandler, J.; Cumpston, M.; Li, T.; Page, M.J.; Welch, V.A. (eds.), Cochrane Handbook for Systematic Reviews of Interventions (6.2 ed.)

[CochraneChapter10-1] Deeks, J.J.; Higgins, J.P.T.; Altman, D.G. (2021), "10.10 Heterogeneity", in Higgins, J.P.T.; Thomas, J.; Chandler, J.; Cumpston, M.; Li, T.; Page, M.J.; Welch, V.A. (eds.), Cochrane Handbook for Systematic Reviews of Interventions (6.2 ed.)

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