The Bayesian optimal interval (BOIN) design is a novel phase I clinical trial design for finding the maximum tolerated dose (MTD). It can be used to design both singleagent and drugcombination trials. The BOIN 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. The prominent advantage of the BOIN design is that it achieves simplicity and superior performance at the same time. The BOIN design is algorithmbased and can be implemented in a simple way similar to the traditional 3+3 design. The BOIN design yields an average performance that is comparable to that of the continual reassessment method (CRM, one of the best modelbased designs) in terms of selecting the MTD, but has a substantially lower risk of assigning patients to subtherapeutic or overly toxic doses.
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Author  Ying Yuan and Suyu Liu 
Date of publication  20160809 01:37:10 
Maintainer  Ying Yuan <yyuan@mdanderson.org> 
License  GPL2 
Version  2.4 
Package repository  View on CRAN 
Installation  Install the latest version of this package by entering the following in R:

Functions  

get.boundary  Man page Source code 
get.oc  Man page Source code 
get.oc.comb  Man page Source code 
get.oc.comb.phase12  Man page Source code 
next.comb  Man page Source code 
next.subtrial  Man page Source code 
select.mtd  Man page Source code 
select.mtd.comb  Man page Source code 
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