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Hartung–Knapp method is not always conservative compared with fixed‐effect meta‐analysis
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References

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2006
meta: General Package for Meta-Analysis
202 cited
  • 2011Detecting and adjusting for small‐study effects in meta‐analysis132 cited
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    • 2023Meta‐analyzing partial correlation coefficients using Fisher's z transformation76 cited
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    • 2021Digital Interventions for People With Co-Occurring Depression and Problematic Alcohol Use: A Systematic Review and Meta-Analysis39 cited
    • 2016Confidence intervals for the between-study variance in random-effects meta-analysis using generalised heterogeneity statistics: should we use unequal tails?35 cited
    • 2021Performing Meta-analyses with Very Few Studies34 cited
    • 2021Study specific prediction intervals for random‐effects meta‐analysis: A tutorial29 cited
    • 2020Interval estimation of the overall treatment effect in random‐effects meta‐analyses: Recommendations from a simulation study comparing frequentist, Bayesian, and bootstrap methods24 cited
    • 2021Reevaluation of statistically significant meta‐analyses in advanced cancer patients using the Hartung–Knapp method and prediction intervals—A methodological study24 cited
    • 2022Performance of several types of beta-binomial models in comparison to standard approaches for meta-analyses with very few studies19 cited
    • 2023Improved methods to construct prediction intervals for network meta‐analysis18 cited
    • 2021Material Scarcity and Unethical Economic Behavior: A Systematic Review and Meta-Analysis16 cited
    • 2024Do statistical heterogeneity methods impact the results of meta- analyses? A meta epidemiological study14 cited
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    • 2023A case study evaluating the effect of clustering, publication bias, and heterogeneity on the meta‐analysis estimates in implant dentistry7 cited
    • 2023Do pooled estimates from orthodontic meta-analyses change depending on the meta-analysis approach? A meta-epidemiological study6 cited