Commentary: Heterogeneity in meta-analysis should be expected and appropriately quantified.

By Julian P. T. Higgins. International Journal of Epidemiology, 2008

965 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/7019b5943a46bb9b603d0023560cb08d1ae7c55c

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Citations in the corpus

The global prevalence of common mental disorders: a systematic review and meta-analysis 1980-2013. (2014, background): “As a consequence, several authorities have raised questions about the merit of reporting such heterogeneity indices in meta-analytic studies of observational studies where the number of studies and sample sizes tend to be large.(69,70) Notwithstanding this, a key issue is whether the level of hetero”
The Influence of the Patient-Clinician Relationship on Healthcare Outcomes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials (2014, methodology): “Further, we calculated tau-squared, a point estimate of the amongstudy variance of true effects [21].”
Correcting for Bias in Psychology: A Comparison of Meta-Analytic Methods (2019, background): “Second, heterogeneity is very likely (Higgins, 2008; McShane et al., 2016).”
A meta-analysis of the prevalence of different functions of non-suicidal self-injury. (2018, methodology): “Meta-regressions were conducted using the Knapp-Hartung variance estimator (Harbord and Higgins, 2008).”
Socioeconomic Status and Child Development (2013, background): “It is generally accepted that meta-analyses should assess heterogeneity, which may be defined as the variation in true effect sizes underlying different studies (Higgins, 2008; Stroup et al., 2000).”
Basics of meta‐analysis: I2 is not an absolute measure of heterogeneity (2017, background): “The same point has been made by Higgins and Thompson (2002); Higgins et al. (2003); Higgins (2008); Higgins et al. (2009), among others.”
The trim-and-fill method for publication bias: practical guidelines and recommendations based on a large database of meta-analyses (2019, background): “Moreover, in this article and in many realistic applications, studies collected in a metaanalysis is often considered heterogeneous,([28,29]) and the”
The impact of behavioural parent training on fathers' parenting: a meta-analysis of the Triple-P Positive Parenting Program (2011, background): “Since meta-analyses necessarily combine studies that are diverse in their methodology, heterogeneity in their results is to be expected (Higgins, 2008).”
Improving the visualization, interpretation and analysis of two-sample summary data Mendelian randomization via the Radial plot and Radial regression (2018, background): “Procedures such as this have been proposed when meta-analysing separate study results,(20) but have been criticized for being too data-driven, likely to throw out larger studies than smaller studies and offering little explanation as to the underlying cause of heterogeneity.(21) A much stronger crit”
Quantifying Publication Bias in Meta-Analysis (2017, methodology): “Meta-analysis has become a powerful and widely used tool to integrate findings from different studies and inform decision making in evidence-based medicine (Sutton and Higgins, 2008).”
Chapter 11: Genome-Wide Association Studies (2012, background): “them, and the I(2) index represents the approximate proportion of this variability that can be attributed to heterogeneity between studies [49].”