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An informed reference prior for between‐study heterogeneity in meta‐analyses of binary outcomes

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2013Modelling heterogeneity variances in multiple treatment comparison meta-analysis – Are informative priors the better solution?60 cited
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2014Methods for calculating confidence and credible intervals for the residual between-study variance in random effects meta-regression models50 cited
2016Implementing informative priors for heterogeneity in meta‐analysis using meta‐regression and pseudo data49 cited

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2020Nonproportional Hazards in Network Meta-Analysis: Efficient Strategies for Model Building and Analysis48 cited

2018Incorporating Genuine Prior Information about Between-Study Heterogeneity in Random Effects Pairwise and Network Meta-analyses35 cited

2016Bayesian bivariate meta-analysis of correlated effects: Impact of the prior distributions on the between-study correlation, borrowing of strength, and joint inferences34 cited

2017Estimates of Between-Study Heterogeneity for 705 Meta-Analyses Reported in Psychological Bulletin From 1990-201325 cited

2021Bayesian Methods for Meta-Analyses of Binary Outcomes: Implementations, Examples, and Impact of Priors21 cited

2021Classifying information-sharing methods17 cited

2020Prior distributions for variance parameters in a sparse‐event meta‐analysis of a few small trials17 cited

2023Summarizing empirical information on between‐study heterogeneity for Bayesian random‐effects meta‐analysis13 cited

2016A Bayesian approach to sequential meta‐analysis12 cited

2012The Choice of a Noninformative Prior on Between-Study Variance Strongly Affects Predictions of Future Treatment Effect10 cited