activity
20172023
most citedOn weakly informative prior distributions for the heterogeneity parameter in Bayesian random-effects meta-analysis

191 citations · 299 across the 8 of their papers we have counts for

collaborators

10 papers

stat.AP2023

On fixed and uncertain mixture prior weights

Beat Neuenschwander, Simon Wandel, Satrajit Roychoudhury +1

This paper focuses on the specification of the weights for the components of mixture priors.

stat.AP2020★ 68 cited

Principal Stratum Strategy: Potential Role in Drug Development

Björn Bornkamp, Kaspar Rufibach, Jianchang Lin +6

A randomized trial allows estimation of the causal effect of an intervention compared to a control in the overall population and in subpopulations defined by baseline characteristi…

stat.ME2020★ 191 cited

On weakly informative prior distributions for the heterogeneity parameter in Bayesian random-effects meta-analysis

Christian Röver, Ralf Bender, Sofia Dias +5

The normal-normal hierarchical model (NNHM) constitutes a simple and widely used framework for meta-analysis. In the common case of only few studies contributing to the meta-analys…

stat.ME2019★ 1 cited

Identifying Treatment Effects using Trimmed Means when Data are Missing Not at Random

Alex Ocampo, Heinz Schmidli, Peter Quarg +2

Patients often discontinue treatment in a clinical trial because their health condition is not improving. Consequently, the patients still in the study at the end of the trial have…

stat.AP2019

Predictively Consistent Prior Effective Sample Sizes

Beat Neuenschwander, Sebastian Weber, Heinz Schmidli +1

Determining the sample size of an experiment can be challenging, even more so when incorporating external information via a prior distribution. Such information is increasingly use…

stat.AP2019★ 10 cited

Applying Meta-Analytic-Predictive Priors with the R Bayesian evidence synthesis tools

Sebastian Weber, Yue Li, John Seaman +2

Use of historical data in clinical trial design and analysis has shown various advantages such as reduction of within-study placebo-treated number of subjects and increase of study…