Testing for Similarity of Dose Response in Multiregional Clinical Trials

This article addresses the problem of determining whether the dose response relationships between subgroups and the full population in a multiregional trial are similar. Similarity is assessed in terms of the maximal deviation between the dose response curves. We consider a parametric framework and develop two powerful bootstrap tests: one for assessing the similarity between the dose response curves of a single subgroup and that of the full population, and another for comparing the dose response curves of multiple subgroups with that of the full population. We prove the validity of these tests, investigate their finite sample properties through a simulation study and illustrate the methodology with a case study.

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Publication Details

Journal
Statistics in Medicine
Published
2025-09-01
DOI
https://doi.org/10.1002/sim.70255
Primary Topic
Statistical Methods in Clinical Trials
Type
article
Field-Weighted Citation Impact
0.00

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article

Testing for Similarity of Dose Response in Multiregional Clinical Trials

Holger Dette, Lukas Koletzko, Frank Bretz
Statistics in Medicine
Statistical Methods in Clinical Trials
article

Testing for Similarity of Dose Response in Multiregional Clinical Trials

Holger Dette, Lukas Koletzko, Frank Bretz
article en

Abstract

This article addresses the problem of determining whether the dose response relationships between subgroups and the full population in a multiregional trial are similar. Similarity is assessed in terms of the maximal deviation between the dose response curves. We consider a parametric framework and develop two powerful bootstrap tests: one for assessing the similarity between the dose response curves of a single subgroup and that of the full population, and another for comparing the dose response curves of multiple subgroups with that of the full population. We prove the validity of these tests, investigate their finite sample properties through a simulation study and illustrate the methodology with a case study.

Statistics in MedicineVol. 44(20-22)
Novartis (Switzerland) (CH), Statistics Austria (AT), Medical University of Vienna (AT), Ruhr University Bochum (DE)
European Federation of Pharmaceutical Industries and Associations, European Commission, Deutsche Forschungsgemeinschaft, HORIZON EUROPE Framework Programme
Openalex Percentile: Top 77%
Statistical Methods in Clinical Trials
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Testing for Similarity of Dose Response in Multiregional Clinical Trials — Holger Dette, Lukas Koletzko, et al. · Statistics in Medicine (2025) | TGRS Research Map | TGRS