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.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

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