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Optimized Response-Adaptive Clinical Trials

Sequential Treatment Allocation Based on Markov Decision Problems

  • Book
  • © 2015

Overview

Authors:
  1. Thomas Ondra

    1. Medical University of Vienna, Vienna, Austria

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  • Publication in the field of natural sciences
  • Includes supplementary material: sn.pub/extras

Part of the book series: BestMasters (BEST)

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Table of contents (4 chapters)

  1. Front Matter

    Pages I-XIV
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  2. Introduction to Markov Decision Problems

    • Thomas Ondra
    Pages 1-17

  3. Finite Horizon Markov Decision Problems

    • Thomas Ondra
    Pages 19-37

  4. Infinite Horizon Markov Decision Problems

    • Thomas Ondra
    Pages 39-65

  5. Markov Decision Problems and Clinical Trials

    • Thomas Ondra
    Pages 67-94

  6. Back Matter

    Pages 95-102
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Keywords

About this book

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.

Reviews

“It is a remarkably concise exposition of the use of MDPs in a pharmaceutical setting; as such, the book’s audience is the intersection of researchers and students with a sophisticated mathematical background and professionals in the pharmaceutical industry. … the book is a very sophisticated treatise on MDP models for managing response-adaptive clinical trials and both mathematicians and pharmaceutical professionals would appreciate it.” (James Smith, Interfaces, Vol. 45 (4), July–August, 2015)

Authors and Affiliations

  • Medical University of Vienna, Vienna, Austria

    Thomas Ondra

About the author

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.

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