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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Autori principali: Trippa, Lorenzo, Lee, Eudocia Q., Wen, Patrick Y., Batchelor, Tracy T., Cloughesy, Timothy, Parmigiani, Giovanni, Alexander, Brian M.
Natura: Artigo
Lingua:Inglês
Pubblicazione: American Society of Clinical Oncology 2012
Soggetti:
Original Reports
Accesso online: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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