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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.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 form https://CRAN.R-project.org/package=MinEDfind to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.