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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 |
| 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 |
| Reference manual: | MinEDfind.pdf |
| 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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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.
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