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Utility-based optimization of phase II/III programs

Phase II and phase III trials play a crucial role in drug development programs. They are costly and time consuming and, because of high failure rates in late development stages, at the same time risky investments. Commonly, sample size calculation of phase III is based on the treatment effect observ...

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Main Authors: Kirchner, Marietta (Author) , Kieser, Meinhard (Author) , Götte, Heiko (Author) , Schüler, Armin (Author)
Format: Article (Journal)
Language:English
Published: [2016]
In: Statistics in medicine
Year: 2016, Volume: 35, Issue: 2, Pages: 305-316
ISSN:1097-0258
DOI:10.1002/sim.6624
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1002/sim.6624
Verlag, lizenzpflichtig, Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1002/sim.6624
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Author Notes:Marietta Kirchner, Meinhard Kieser, Heiko Götte and Armin Schüler

MARC

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520 |a Phase II and phase III trials play a crucial role in drug development programs. They are costly and time consuming and, because of high failure rates in late development stages, at the same time risky investments. Commonly, sample size calculation of phase III is based on the treatment effect observed in phase II. Therefore, planning of phases II and III can be linked. The performance of the phase II/III program crucially depends on the allocation of the resources to phases II and III by appropriate choice of the sample size and the rule applied to decide whether to stop the program after phase II or to proceed. We present methods for a program-wise phase II/III planning that aim at determining optimal phase II sample sizes and go/no-go decisions in a time-to-event setting. Optimization is based on a utility function that takes into account (fixed and variable) costs of the drug development program and potential gains after successful launch. The proposed methods are illustrated by application to a variety of scenarios typically met in oncology drug development. Copyright © 2015 John Wiley & Sons, Ltd. 
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