5 citations · 5 across the 4 of their papers we have counts for
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Communicating results in trials with multiple hypotheses or adaptive design features
Elina Asikanius, Marcel Wolbers, Mouna Akacha +8
Over time, clinical trials have increasingly incorporated complex design and analysis elements such as interim analyses, adaptations, multiple endpoints, and sophisticated multipli…
Bayesian analysis of the causal reference-based model for missing data in clinical trials, accommodating partially observed post-intercurrent event data
Brendah Nansereko, Marcel Wolbers, James R. Carpenter +1
When treatment policy estimands are of interest, clinical trials often attempt to collect patient data after intercurrent events (ICEs), although such data are often limited. Retri…
Unified implementation and comparison of Bayesian shrinkage methods for treatment effect estimation in subgroups
Marcel Wolbers, Miriam Pedrera Gómez, Alex Ocampo +1
Evaluating treatment effect heterogeneity across patient subgroups is a fundamental aspect of clinical trial analysis. These analyses have inherent limitations due to small sample…
Bayesian analysis of the causal reference-based model for missing data in clinical trials
Brendah Nansereko, Marcel Wolbers, James Carpenter +1
The statistical analysis of clinical trials is often complicated by missing data. Patients sometimes experience intercurrent events (ICEs), which usually (although not always) lead…