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A Bayesian Adaptive Design in Cancer Phase I Trials Using Dose Combinations with Ordinal Toxicity Grades

We propose a Bayesian adaptive design for early phase drug combination cancer trials incorporating ordinal grade of toxicities. Parametric models are used to describe the relationship between the dose combinations and the probabilities of the ordinal toxicities under the proportional odds assumption...

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Détails bibliographiques
Publié dans:Stats (Basel)
Auteurs principaux: Diniz, Márcio A, Kim, Sungjin, Tighiouart, Mourad
Format: Artigo
Langue:Inglês
Publié: 2020
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7561046/
https://ncbi.nlm.nih.gov/pubmed/33073179
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/stats3030017
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