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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...

詳細記述

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書誌詳細
出版年:Stats (Basel)
主要な著者: Diniz, Márcio A, Kim, Sungjin, Tighiouart, Mourad
フォーマット: Artigo
言語:Inglês
出版事項: 2020
主題:
オンライン・アクセス: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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