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Optimized Response-Adaptive Clinical Trials
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Sequential Treatment Allocation Based on Markov Decision Problems
eBook
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Artikel-Nr:
9783658083441
Veröffentl:
2014
Einband:
eBook
Seiten:
102
Autor:
Thomas Ondra
Serie:
BestMasters
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Digital Watermark [Social-DRM]
Sprache:
Englisch
Beschreibung:
Two-armed response-adaptive clinical trials are modelled as Markov decision problems to pursue two overriding objectives: Firstly, to identify the superior treatment at the end of the trial and, secondly, to keep the number of patients receiving the inferior treatment small. Such clinical trial designs are very important, especially for rare diseases. Thomas Ondra presents the main solution techniques for Markov decision problems and provides a detailed description how to obtain optimal allocation sequences.
Two-armed response-adaptive clinical trials are modelled as Markov decision problems to pursue two overriding objectives: Firstly, to identify the superior treatment at the end of the trial and, secondly, to keep the number of patients receiving the inferior treatment small. Such clinical trial designs are very important, especially for rare diseases. Thomas Ondra presents the main solution techniques for Markov decision problems and provides a detailed description how to obtain optimal allocation sequences.
Introduction to Markov Decision Problems and Examples.- Finite and Infinite Horizon Markov Decision Problems.- Solution Algorithms: Backward Induction, Value Iteration and Policy Iteration.- Designing Response Adaptive Clinical Trials with Markov Decision Problems.