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A Bayesian Adaptive Design for Cancer Phase I Trials Using a Flexible Range of Doses

We present a Bayesian adaptive design for dose finding in cancer phase I clinical trials. The goal is to estimate the maximum tolerated dose (MTD) after possible modification of the dose range during the trial. Parametric models are used to describe the relationship between the dose and the probabil...

詳細記述

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書誌詳細
出版年:J Biopharm Stat
主要な著者: Tighiouart, Mourad, Cook-Wiens, Galen, Rogatko, André
フォーマット: Artigo
言語:Inglês
出版事項: 2017
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC5832533/
https://ncbi.nlm.nih.gov/pubmed/28858566
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10543406.2017.1372774
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