3 citations · 6 across the 6 of their papers we have counts for
6 papers
A Workflow for Evaluating Regional Treatment Effect Heterogeneity in Multi-Regional Clinical Trials
Cong Zhang, Meihua Long, Tianyu Zheng +8
Multi-regional clinical trials (MRCTs) enable efficient global drug development by assessing treatment effects across regions within a single protocol. While powered for overall ef…
Data-driven controlled subgroup selection in clinical trials
Manuel M. Müller, Björn Bornkamp, Frank Bretz +7
Subgroup selection in clinical trials is essential for identifying patient groups that react differently to a treatment, thereby enabling personalised medicine. In particular, subg…
Choosing the nominal level post-hoc with knockoffs using e-values
Lasse Fischer, Konstantinos Sechidis
The knockoff filter is a powerful tool for controlled variable selection with false discovery rate (FDR) control. In this paper, we leverage e-values to allow the nominal FDR level…
Comparing methods to assess treatment effect heterogeneity in general parametric regression models
Yao Chen, Sophie Sun, Konstantinos Sechidis +3
This paper reviews and compares methods to assess treatment effect heterogeneity in the context of parametric regression models. These methods include the standard likelihood ratio…
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…