# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "bfboinet" in publications use:'
type: software
license: GPL-3.0-only
title: 'bfboinet: Backfill Bayesian Optimal Interval Design Using Efficacy and Toxicity'
version: 0.2.0
doi: 10.32614/CRAN.package.bfboinet
abstract: 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.
authors:
- family-names: Zhu
  given-names: Jing
  email: zhujing716@gmail.com
- family-names: Takeda
  given-names: Kentaro
  email: kentaro.takeda.statistics@gmail.com
repository: https://jingzhuzhuzhu.r-universe.dev
commit: 4816f82bb7cdd9ac532aebcd4c68a1be9c86350d
date-released: '2025-02-10'
contact:
- family-names: Zhu
  given-names: Jing
  email: zhujing716@gmail.com