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Bayesian hierarchical modeling of patient subpopulations: Efficient designs of Phase II oncology clinical trials
BACKGROUND: In oncology, the treatment paradigm is shifting toward personalized medicine, where the goal is to match patients to the treatments most likely to deliver benefit. Treatment effects in various subpopulations may provide some information about treatment effects in other subpopulations. PU...
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| Publicado no: | Clin Trials |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4319656/ https://ncbi.nlm.nih.gov/pubmed/23983156 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/1740774513497539 |
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