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Björn Bornkamp
Researcher at Novartis
Publications - 70
Citations - 1255
Björn Bornkamp is an academic researcher from Novartis. The author has contributed to research in topics: Sample size determination & Optimal design. The author has an hindex of 17, co-authored 65 publications receiving 1018 citations. Previous affiliations of Björn Bornkamp include Technical University of Dortmund.
Papers
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Journal ArticleDOI
Innovative approaches for designing and analyzing adaptive dose-ranging trials.
Björn Bornkamp,Frank Bretz,Alex Dmitrienko,Greg Enas,Brenda Gaydos,Chyi-Hung Hsu,Franz König,Michael Krams,Qing Liu,Beat Neuenschwander,Tom Parke,José Pinheiro,Amit Roy,Rick Sax,Frank Shen +14 more
TL;DR: Recommendations on how to improve dose ranging in clinical development are put forward, including, but not limited to, the use of adaptive dose-ranging methods.
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Model‐based dose finding under model uncertainty using general parametric models
TL;DR: In this article, the authors developed an approach to perform efficient multiple comparisons and modeling for dose finding, under uncertainty about the dose-response shape, using general parametric models, including generalized nonlinear models, linear and nonlinear mixed effects models, Cox proportional hazards models, with the main restriction being that a univariate doseresponse relationship is modeled, that is, both dose and response correspond to univariate measurements.
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MCPMod: An R Package for the Design and Analysis of Dose-Finding Studies
TL;DR: The MCPMod package provides tools for the analysis of dose finding trials, as well as a variety of tools necessary to plan an experiment to be analyzed using the MCP-Mod methodology.
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Design and analysis of dose-finding studies combining multiple comparisons and modeling procedures.
TL;DR: This article considers a unified strategy for designing and analyzing dose-finding studies, including the testing of proof-of-concept and the selection of one or more doses to take into further development, consisting of a multi-stage procedure.
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Bayesian nonparametric estimation of continuous monotone functions with applications to dose-response analysis.
Björn Bornkamp,Katja Ickstadt +1 more
TL;DR: This article considers monotone nonparametric regression in a Bayesian framework and finds that the two-sided power distribution function is well suited both from a computational and mathematical point of view.