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20072025
most citedLikelihood-based meta-analysis with few studies: Empirical and simulation studies

156 citations · 831 across the 17 of their papers we have counts for

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6 papers · 1 filter

stat.ME2025

Meta-analytic-predictive priors based on a single study

Christian Röver, Tim Friede

Meta-analytic-predictive (MAP) priors have been proposed as a generic approach to deriving informative prior distributions, where external empirical data are processed to learn abo…

stat.ME2025★ 1 cited

Bayesian random-effects meta-analysis of aggregate data on clinical events

Christian Röver, Qiong Wu, Anja Loos +1

To investigate intervention effects on rare events, meta-analysis techniques are commonly applied in order to assess the accumulated evidence. When it comes to adverse effects in c…

stat.ME2018★ 6 cited

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

Christian Röver, Tim Friede

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.2018000…

stat.ME2018★ 156 cited

Likelihood-based meta-analysis with few studies: Empirical and simulation studies

Svenja E. Seide, Christian Röver, Tim Friede

Standard random-effects meta-analysis methods perform poorly when applied to few studies only. Such settings however are commonly encountered in practice. It is unclear, whether or…

stat.ME2018★ 55 cited

Dynamically borrowing strength from another study through shrinkage estimation

Christian Röver, Tim Friede

Meta-analytic methods may be used to combine evidence from different sources of information. Quite commonly, the normal-normal hierarchical model (NNHM) including a random-effect t…

stat.ME2018★ 41 cited

Model averaging for robust extrapolation in evidence synthesis

Christian Röver, Simon Wandel, Tim Friede

Extrapolation from a source to a target, e.g., from adults to children, is a promising approach to utilizing external information when data are sparse. In the context of meta-analy…