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Optimized Response-Adaptive Clinical Trials
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Sequential Treatment Allocation Based on Markov Decision Problems
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Artikel-Nr:
9783658083434
Veröffentl:
2014
Einband:
Paperback
Erscheinungsdatum:
18.12.2014
Seiten:
120
Autor:
Thomas Ondra
Gewicht:
167 g
Format:
210x148x7 mm
Serie:
BestMasters
Sprache:
Englisch
Beschreibung:
Thomas Ondra obtained his Master of Science degree in mathematics at University of Vienna. He is a research assistant and PhD student at the Section for Medical Statistics of Medical University of Vienna.
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.
Publication in the field of natural sciences
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.