240 citations
- Universitätsmedizin GöttingenDE13 papers
- Medical University of ViennaAT10 papers
- Roche (Switzerland)CH10 papers
- University of GöttingenDE9 papers
- Pfizer (United States)US6 papers
- Tris Pharma (United States)US6 papers
- Lancaster UniversityGB5 papers
- MRC Biostatistics UnitGB5 papers
- Novartis (United States)US5 papers
- University Hospital MagdeburgDE5 papers
- Boehringer Ingelheim (Germany)DE4 papers
- Newcastle UniversityGB4 papers
22 papers · 1 filter
Using Individualized Treatment Effects to Assess Treatment Effect Heterogeneity
Konstantinos Sechidis, Cong Zhang, Sophie Sun +3
Assessing treatment effect heterogeneity (TEH) in clinical trials is crucial, as it provides insights into the variability of treatment responses among patients, influencing import…
WATCH: A Workflow to Assess Treatment Effect Heterogeneity in Drug Development for Clinical Trial Sponsors
Konstantinos Sechidis, Sophie Sun, Yao Chen +8
This paper proposes a Workflow for Assessing Treatment effeCt Heterogeneity (WATCH) in clinical drug development targeted at clinical trial sponsors. WATCH is designed to address t…
Predicting subgroup treatment effects for a new study: Motivations, results and learnings from running a data challenge in a pharmaceutical corporation
Björn Bornkamp, Silvia Zaoli, Michela Azzarito +6
We present the motivation, experience and learnings from a data challenge conducted at a large pharmaceutical corporation on the topic of subgroup identification. The data challeng…
Designing an exploratory phase 2b platform trial in NASH with correlated, co-primary binary endpoints
Elias Laurin Meyer, Peter Mesenbrink, Nicholas A. Di Prospero +5
Non-alcoholic steatohepatitis (NASH) is the progressive form of nonalcoholic fatty liver disease (NAFLD) and a disease with high unmet medical need. Platform trials provide great b…
Geometric approaches to assessing the numerical feasibility for conducting matching-adjusted indirect comparisons
Ekkehard Glimm, Lillian Yau
We discuss how to handle matching-adjusted indirect comparison (MAIC) from a data analyst's perspective. We introduce several multivariate data analysis methods to assess the appro…
Inverse probability of censoring weighting for visual predictive checks of time-to-event models with time-varying covariates
Christian Bartels, Thomas Dumortier
When constructing models to summarize clinical data to be used for simulations, it is good practice to evaluate the models for their capacity to reproduce the data. This can be don…