112,22 €
124,69 €
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Optimized Response-Adaptive Clinical Trials
Optimized Response-Adaptive Clinical Trials
112,22
124,69 €
  • We will send in 10–14 business days.
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 allocat…
124.69
  • Publisher:
  • Year: 2014
  • Pages: 102
  • ISBN-10: 3658083433
  • ISBN-13: 9783658083434
  • Format: 14.8 x 21 x 0.7 cm, minkšti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

Optimized Response-Adaptive Clinical Trials (e-book) (used book) | bookbook.eu

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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.

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  • Author: Thomas Ondra
  • Publisher:
  • Year: 2014
  • Pages: 102
  • ISBN-10: 3658083433
  • ISBN-13: 9783658083434
  • Format: 14.8 x 21 x 0.7 cm, minkšti viršeliai
  • Language: English English

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.

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