A Bayesian Design for Minimum Effective Dosing-Finding Trial

The nonparametric two-stage Bayesian adaptive design is a novel phase II clinical trial design for finding the minimum effective dose (MinED). This design is motivated by the top priority and concern of clinicians when testing a new drug, which is to effectively treat patients and minimize the chance of exposing them to subtherapeutic or overly toxic doses. It is used to design single-agent trials.


Reference manual

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0.1.3 by Chia-Wei Hsu, a year ago

Browse source code at https://github.com/cran/MinEDfind

Authors: Chia-Wei Hsu , Fang Wang , Rongji Mu , Haitao Pan , Guoying Xu

Documentation:   PDF Manual  

Task views: Clinical Trial Design, Monitoring, and Analysis

GPL-2 license

Depends on Iso, ggplot2, gridExtra

See at CRAN