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Bayesian Adaptive Randomized Trial Design for Patients With Recurrent Glioblastoma
PURPOSE: To evaluate whether the use of Bayesian adaptive randomized (AR) designs in clinical trials for glioblastoma is feasible and would allow for more efficient trials. PATIENTS AND METHODS: We generated an adaptive randomization procedure that was retrospectively applied to primary patient data...
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| Main Authors: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Society of Clinical Oncology
2012
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3434985/ https://ncbi.nlm.nih.gov/pubmed/22649140 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1200/JCO.2011.39.8420 |
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