BOIN (version 1.1)

BOIN-package: Bayesian Optimum Interval (BOIN) design for finding the maximum tolerated dose (MTD)

Description

Package is used to design phase I clinical trials using the BOIN design. The BOIN design is motivated by top priority and concern of clinicians, 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 algorithm-based and can be implemented in a simple way similar to the traditional ``3+3" design. The BOIN design yields average performance comparable to the continual reassessment method (CRM, one of the best model-based designs) in terms of selecting the MTD, but has a substantially lower risk of assigning patients to subtherapeutic or overly toxic doses.

Details

ll{ Package: BOIN Type: Package Version: 1.1 Date: 2015-02-13 License: GPL-2 }

References

Liu S. and Yuan, Y. (2015). Bayesian Optimal Interval Designs for Phase I Clinical Trials, Journal of the Royal Statistical Society: Series C, in press

See Also

Tutorial: http://odin.mdacc.tmc.edu/~yyuan/Software_release/OptInterval/tutorial.pdf

Paper: http://odin.mdacc.tmc.edu/~yyuan/Software_release/OptInterval/paper.pdf

Examples

###### Trial Design #####
get.boundary(target=0.3, ncohort=10, cohortsize=3)	
	
###### Obtain operating characteristics #####
get.oc(target=0.3, p.true=c(0.05, 0.15, 0.3, 0.45, 0.6), ncohort=10, cohortsize=3, ntrial=1000)

##### Select the MTD when the trial is completed #####
n<-c(3, 3, 15, 9, 0)
y<-c(0, 0, 4, 4, 0)
select.mtd(target=0.3, ntox=y, npts=n)