4 papers
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…
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…
Comparing Approaches to Treatment Effect Estimation for Subgroups in Clinical Trials
Marius Thomas, Björn Bornkamp
Identifying subgroups, which respond differently to a treatment, both in terms of efficacy and safety, is an important part of drug development. A well-known challenge in explorato…