README.md

In bfboin: Operating Characteristics for the Bayesian Optimal Interval Design with Back Filling

bfboin

The goal of bfboin is to provide an independent implementation of the BF-BOIN design of Zhou et al. (2024), aiming to reproduce the functionality of the shiny app by MD Anderson.

Zhao, Y., Yuan, Y., Korn, E.L. and Freidlin, B., 2024. Backfilling patients in phase I dose-escalation trials using Bayesian optimal interval design (BOIN). Clinical Cancer Research, 30(4), pp.673-679.

Installation

You can install the development version of bfboin like so:

# install.packages("devtools")
devtools::install_github("openpharma/bfboin")

Example

library(bfboin)
## basic example code
get.oc.bf(ntrial = 100,
          seed = 9,
          target = 0.25,
          p.true = c(0.1, 0.5),
          ncohort = 10,
          cohortsize = 3,
          n.earlystop = 9,
          startdose = 1,
          titration = FALSE,
          cutoff.eli = 0.95,
          extrasafe = TRUE,
          offset = 0.1,
          boundMTD=FALSE,
          n.cap = 12,
          end.backfill = TRUE,
          n.per.month = 1,
          dlt.window = 1,
          p.response.true = c(0.001, 0.001),
          accrual = "uniform")
#> $selpercent
#> [1] 75 18
#> 
#> $npatients
#>     1     2 
#> 10.54  7.41 
#> 
#> $percentpatients
#>        1        2 
#> 58.71866 41.28134 
#> 
#> $ntox
#>    1    2 
#> 1.01 3.71 
#> 
#> $totaltox
#> [1] 4.72
#> 
#> $totaln
#> [1] 17.95
#> 
#> $percentstop
#> [1] 7
#> 
#> $duration
#> [1] 20.52315

bfboin documentation built on Aug. 8, 2025, 6:24 p.m.