
On weakly informative prior distributions for the heterogeneity parameter in Bayesian randomeffects metaanalysis
The normalnormal hierarchical model (NNHM) constitutes a simple and wid...
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Bounds for the weight of external data in shrinkage estimation
Dynamical borrowing of information may be facilitated via shrinkage esti...
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Decline of COPD exacerbations in clinical trials over two decades – a systematic review and metaregression
BACKGROUND: An important goal of chronic obstructive pulmonary disease (...
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Randomeffects metaanalysis of phase I dosefinding studies using stochastic process priors
Phase I dosefinding studies aim at identifying the maximal tolerated do...
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Contribution to the discussion of "When should metaanalysis avoid making hidden normality assumptions?": A Bayesian perspective
Contribution to the discussion of "When should metaanalysis avoid makin...
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Metaanalysis of few studies involving rare events
Metaanalyses of clinical trials targeting rare events face particular c...
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Likelihoodbased metaanalysis with few studies: Empirical and simulation studies
Standard randomeffects metaanalysis methods perform poorly when applie...
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Dynamically borrowing strength from another study
Metaanalytic methods may be used to combine evidence from different sou...
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Model averaging for robust extrapolation in evidence synthesis
Extrapolation from a source to a target, e.g., from adults to children, ...
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Bayesian randomeffects metaanalysis using the bayesmeta R package
The randomeffects or normalnormal hierarchical model is commonly utili...
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Christian Röver
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