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Optimized response-adaptive clinical trials[electronic resource] :sequential treatment allocation based on Markov decision problems /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	610.724
書名/作者:	Optimized response-adaptive clinical trials : sequential treatment allocation based on Markov decision problems // by Thomas Ondra.
作者:	Ondra, Thomas.
出版者:	Wiesbaden : : Springer Fachmedien Wiesbaden :, 2015.
面頁冊數:	xv, 102 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Mathematics.
標題:	Computational Mathematics and Numerical Analysis.
標題:	Probability Theory and Stochastic Processes.
標題:	Analysis.
標題:	Clinical trials - Statistical methods.
標題:	Markov processes.
ISBN:	9783658083441 (electronic bk.)
ISBN:	9783658083434 (paper)
內容註:	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.
摘要、提要註:	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. Contents 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 Target Groups Researchers and students in the fields of mathematics and statistics Professionals in the pharmaceutical industry 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.
電子資源:	http://dx.doi.org/10.1007/978-3-658-08344-1

Optimized response-adaptive clinical trials[electronic resource] :sequential treatment allocation based on Markov decision problems /
Ondra, Thomas.

Optimized response-adaptive clinical trialssequential treatment allocation based on Markov decision problems /[electronic resource] :by Thomas Ondra. - Wiesbaden :Springer Fachmedien Wiesbaden :2015. - xv, 102 p. :ill., digital ;24 cm. - BestMasters. - BestMasters..

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.

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. Contents 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 Target Groups Researchers and students in the fields of mathematics and statistics Professionals in the pharmaceutical industry 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.

ISBN: 9783658083441 (electronic bk.)

Standard No.: 10.1007/978-3-658-08344-1doiSubjects--Topical Terms:

172349
Mathematics.

LC Class. No.: R853.S7

Dewey Class. No.: 610.724

Optimized response-adaptive clinical trials[electronic resource] :sequential treatment allocation based on Markov decision problems /
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