Contribution to the discussion of "When should meta-analysis avoid making hidden normality assumptions?": A Bayesian perspective

Abstract

Contribution to the discussion of "When should meta-analysis avoid making hidden normality assumptions?" by Dan Jackson and Ian R. White (2018; https://doi.org/10.1002/bimj.201800071).

arXiv comment3 pages, 1 figure

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• Hartung-Knapp-Sidik-Jonkman approach and its modification for random-effects meta-analysis with few studies
• Meta-analysis of few small studies in orphan diseases
• Likelihood-based meta-analysis with few studies: Empirical and simulation studies
• Meta-analysis of two studies in the presence of heterogeneity with applications in rare diseases

Cited by in corpus (3)

• On weakly informative prior distributions for the heterogeneity parameter in Bayesian random-effects meta-analysis
• Likelihood-based meta-analysis with few studies: Empirical and simulation studies
• Dynamically borrowing strength from another study through shrinkage estimation