Cited by

• 2019Customer satisfaction and firm performance: insights from over a quarter century of empirical research350 cited
• 2017The Hartung‐Knapp modification for random‐effects meta‐analysis: A useful refinement but are there any residual concerns?252 cited
• 2018Methods for evidence synthesis in the case of very few studies250 cited
• 2016Random effects meta‐analysis: Coverage performance of 95 % confidence and prediction intervals following REML estimation235 cited
• 2018Methods to calculate uncertainty in the estimated overall effect size from a random‐effects meta‐analysis235 cited
• 2016Meta‐analysis of few small studies in orphan diseases190 cited
• 2019Likelihood-based random-effects meta-analysis with few studies: empirical and simulation studies158 cited
• 2016Meta‐analysis of two studies in the presence of heterogeneity with applications in rare diseases128 cited
• 2018A comparison of methods for meta‐analysis of a small number of studies with binary outcomes128 cited
• 2019A new justification of the Hartung‐Knapp method for random‐effects meta‐analysis based on weighted least squares regression126 cited
• 2018Correcting for Publication Bias in a Meta-Analysis with the P-uniform* Method106 cited
• 2017Meta-analysis in evidence-based healthcare100 cited
• 2020Comparison of aggregate and individual participant data approaches to meta-analysis of randomised trials: An observational study76 cited
• 2023Meta‐analyzing partial correlation coefficients using Fisher's z transformation76 cited
• 2016Bayesian estimation in random effects meta‐analysis using a non‐informative prior73 cited
• 2025Generative AI Mental Health Chatbots as Therapeutic Tools: Systematic Review and Meta-Analysis of Their Role in Reducing Mental Health Issues59 cited