Optimized Response-Adaptive Clinical Trials: Sequential Treatment Allocation Based on 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 desi...
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oai:scholar.dlu.edu.vn:DLU123456789-580112023-11-11T05:56:55Z Optimized Response-Adaptive Clinical Trials: Sequential Treatment Allocation Based on Markov Decision Problems Ondra, Thomas Essays Mathematics Markov processes. Statistical methods Clinical trials 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. 2015-09-07T00:58:30Z 2015-09-07T00:58:30Z 2015 Book 978-3-658-08343-4 978-3-658-08344-1 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58011 en application/pdf Springer |
| institution |
Thư viện Trường Đại học Đà Lạt |
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Thư viện số |
| language |
English |
| topic |
Essays Mathematics Markov processes. Statistical methods Clinical trials |
| spellingShingle |
Essays Mathematics Markov processes. Statistical methods Clinical trials Ondra, Thomas Optimized Response-Adaptive Clinical Trials: Sequential Treatment Allocation Based on Markov Decision Problems |
| description |
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. |
| format |
Book |
| author |
Ondra, Thomas |
| author_facet |
Ondra, Thomas |
| author_sort |
Ondra, Thomas |
| title |
Optimized Response-Adaptive Clinical Trials:
Sequential Treatment Allocation Based on Markov Decision Problems |
| title_short |
Optimized Response-Adaptive Clinical Trials:
Sequential Treatment Allocation Based on Markov Decision Problems |
| title_full |
Optimized Response-Adaptive Clinical Trials:
Sequential Treatment Allocation Based on Markov Decision Problems |
| title_fullStr |
Optimized Response-Adaptive Clinical Trials:
Sequential Treatment Allocation Based on Markov Decision Problems |
| title_full_unstemmed |
Optimized Response-Adaptive Clinical Trials:
Sequential Treatment Allocation Based on Markov Decision Problems |
| title_sort |
optimized response-adaptive clinical trials:
sequential treatment allocation based on markov decision problems |
| publisher |
Springer |
| publishDate |
2015 |
| url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58011 |
| _version_ |
1782549958224773120 |