Operating Characteristics for the Bayesian Optimal Interval Design with Back Filling

Calculate the operating characteristics of the Bayesian Optimal Interval with Back Filling Design for dose escalation in early-phase oncology trials.

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