Bayesian Adaptive Design for Finding the Maximum Tolerated Sequence of Doses in Multicycle Dose-Finding Clinical Trials | Zendy

Jiaying Lyu | Zendy; Emily Curran | Zendy; Yuan Ji | Zendy

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Bayesian Adaptive Design for Finding the Maximum Tolerated Sequence of Doses in Multicycle Dose-Finding Clinical Trials

Author(s) -

Jiaying Lyu,

Emily Curran,

Yuan Ji

Publication year - 2018

Publication title -

jco precision oncology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.405

H-Index - 22

ISSN - 2473-4284

DOI - 10.1200/po.18.00020

Subject(s) - sequence (biology) , bayesian probability , maximum tolerated dose , clinical trial , adaptive design , computer science , medicine , artificial intelligence , biology , genetics

Statistical designs for traditional phase I dose-finding trials consider dose-limiting toxicity in the first cycle of treatment. In reality, patients often go through multiple cycles of treatment and may experience toxicity events in more than one cycle. Therefore, it is desirable to identify the maximum tolerated sequence of three doses across three cycles of treatment.

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