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bfboinet  

Backfill Bayesian Optimal Interval Design Using Efficacy and Toxicity
View on CRAN: Click here


Download and install bfboinet package within the R console
Install from CRAN:
install.packages("bfboinet")

Install from Github:
library("remotes")
install_github("cran/bfboinet")

Install by package version:
library("remotes")
install_version("bfboinet", "1.1.0")



Attach the package and use:
library("bfboinet")
Maintained by
Jing Zhu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-11-18
Latest Update: 2025-06-03
Description:
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.
How to cite:
Jing Zhu (2024). bfboinet: Backfill Bayesian Optimal Interval Design Using Efficacy and Toxicity. R package version 1.1.0, https://cran.r-project.org/web/packages/bfboinet. Accessed 04 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:21), 0.1.0 (2024-11-18 14:30), 0.2.0 (2025-02-10 05:10), 0.3.0 (2025-05-26 09:40), 0.4.0 (2025-06-03 11:50), 1.0.0 (2026-04-14 11:10)
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Complete documentation for bfboinet
Functions, R codes and Examples using the bfboinet R package
Full bfboinet package functions and examples
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