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The backfill Bayesian optimal interval design using efficacy and toxicity outcomes for dose optimization (BF-BOIN-ET) design is a novel clinical trial design to allow patients to be backfilled at lower doses during a dose-finding trial while prioritizing the dose-escalation cohort to explore a higher dose. The advantages compared to the other designs in terms of the percentage of correct optimal dose (OD) selection, reducing the sample size, and shortening the duration of the trial, in various realistic setting.
| Version: | 0.1.0 |
| Imports: | Iso, copula, dplyr, tidyselect, magrittr |
| Published: | 2024-11-18 |
| DOI: | 10.32614/CRAN.package.bfboinet |
| Author: | Jing Zhu [cre, aut], Kentaro Takeda [aut] |
| Maintainer: | Jing Zhu <zhujing716 at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | bfboinet results |
| Reference manual: | bfboinet.pdf |
| Package source: | bfboinet_0.1.0.tar.gz |
| Windows binaries: | r-devel: bfboinet_0.1.0.zip, r-release: bfboinet_0.1.0.zip, r-oldrel: bfboinet_0.1.0.zip |
| macOS binaries: | r-release (arm64): bfboinet_0.1.0.tgz, r-oldrel (arm64): bfboinet_0.1.0.tgz, r-release (x86_64): bfboinet_0.1.0.tgz, r-oldrel (x86_64): bfboinet_0.1.0.tgz |
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