165 citations · 360 across the 19 of their papers we have counts for
4 papers · 1 filter
Identifying treatment effect heterogeneity in dose-finding trials using Bayesian hierarchical models
Marius Thomas, Björn Bornkamp, Katja Ickstadt
An important task in drug development is to identify patients, which respond better or worse to an experimental treatment. Identifying predictive covariates, which influence the tr…
A multiple comparison procedure for dose-finding trials with subpopulations
Marius Thomas, Björn Bornkamp, Martin Posch +1
Identifying subgroups of patients with an enhanced response to a new treatment has become an area of increased interest in the last few years. When there is knowledge about possibl…
Estimating the treatment effect in a subgroup defined by an early post-baseline biomarker measurement in randomized clinical trials with time-to-event endpoint
Björn Bornkamp, Georgina Bermann
Biomarker measurements can be relatively easy and quick to obtain and they are useful to investigate whether a compound works as intended on a mechanistic, pharmacological level. I…
Subgroup identification in dose-finding trials via model-based recursive partitioning
Marius Thomas, Björn Bornkamp, Heidi Seibold
An important task in early phase drug development is to identify patients, which respond better or worse to an experimental treatment. While a variety of different subgroup identif…