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A Hierarchical Bayesian Design for Phase I Trials of Novel Combinations of Cancer Therapeutic Agents
We propose a hierarchical model for the probability of dose-limiting toxicity (DLT) for combinations of doses of two therapeutic agents. We apply this model to an adaptive Bayesian trial algorithm whose goal is to identify combinations with DLT rates close to a pre-specified target rate. We describe...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2010
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2889231/ https://ncbi.nlm.nih.gov/pubmed/19995354 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2009.01363.x |
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