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MinEDfind: 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.

Version:0.1.3
Depends:Iso,ggplot2,gridExtra
Published:2020-05-05
DOI:10.32614/CRAN.package.MinEDfind
Author:Chia-Wei Hsu, Fang Wang, Rongji Mu, Haitao Pan, Guoying Xu
Maintainer:Chia-Wei Hsu <Chia-Wei.Hsu at stjude.org>
License:GPL-2
NeedsCompilation:no
In views:ClinicalTrials
CRAN checks:MinEDfind results

Documentation:

Reference manual:MinEDfind.html ,MinEDfind.pdf

Downloads:

Package source: MinEDfind_0.1.3.tar.gz
Windows binaries: r-devel:MinEDfind_0.1.3.zip, r-release:MinEDfind_0.1.3.zip, r-oldrel:MinEDfind_0.1.3.zip
macOS binaries: r-release (arm64):MinEDfind_0.1.3.tgz, r-oldrel (arm64):MinEDfind_0.1.3.tgz, r-release (x86_64):MinEDfind_0.1.3.tgz, r-oldrel (x86_64):MinEDfind_0.1.3.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=MinEDfindto link to this page.


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