BOIN: An R Package for Designing Single-Agent and Drug-Combination Dose-Finding Trials Using Bayesian Optimal Interval Designs
Dublin Core
Title
BOIN: An R Package for Designing Single-Agent and Drug-Combination Dose-Finding Trials Using Bayesian Optimal Interval Designs
Subject
maximum tolerated dose, dose finding, phase I trials, model-assisted design, Bayesian
adaptive design
adaptive design
Description
This article describes the R package BOIN, which implements a recently developed
methodology for designing single-agent and drug-combination dose-finding clinical trials
using Bayesian optimal interval designs (Liu and Yuan 2015; Yuan, Hess, Hilsenbeck,
and Gilbert 2016). The BOIN designs are novel “model-assisted” phase I trial designs
that can be implemented simply and transparently, similar to the 3 + 3 design, but yield
excellent performance comparable to those of more complicated, model-based designs.
The BOIN package provides tools for designing, conducting, and analyzing single-agent
and drug-combination dose-finding trials
methodology for designing single-agent and drug-combination dose-finding clinical trials
using Bayesian optimal interval designs (Liu and Yuan 2015; Yuan, Hess, Hilsenbeck,
and Gilbert 2016). The BOIN designs are novel “model-assisted” phase I trial designs
that can be implemented simply and transparently, similar to the 3 + 3 design, but yield
excellent performance comparable to those of more complicated, model-based designs.
The BOIN package provides tools for designing, conducting, and analyzing single-agent
and drug-combination dose-finding trials
Creator
Fangrong Yan
Source
https://www.jstatsoft.org/article/view/v094i13
Publisher
China Pharmaceutical
University
University
Date
June 2020
Contributor
Fajar bagus W
Format
PDF
Language
Inggris
Type
Text
Files
Collection
Citation
Fangrong Yan, “BOIN: An R Package for Designing Single-Agent and Drug-Combination Dose-Finding Trials Using Bayesian Optimal Interval Designs,” Repository Horizon University Indonesia, accessed May 14, 2025, https://repository.horizon.ac.id/items/show/8146.