UnifiedDoseFinding (version 0.1.8)

get_oc_gBOIN_Continuous: Generate operating characteristics for finding the maximum tolerated dose (MTD) using gBOIN design

Description

Obtain the operating characteristics of the general Bayesian optimal interval (gBOIN) design (Mu et al. 2017) for maximum tolerated dose (MTD)-based dosing-finding trials under the continuous measure

Usage

get_oc_gBOIN_Continuous(target, c_true, ncohort, cohortsize,
                        n.earlystop = 100, ntrial,
                        mu_1 = 0.6 * target,
                        mu_2 = 1.4 * target,
                        startdose = 1, seed = 100)

Arguments

target

the continuous target score

c_true

the true mean value of the continuous measure

ncohort

the number of cohorts

cohortsize

the cohort size

n.earlystop

the early stopping parameter. The default value is n.earlystop = 100

ntrial

the number of simulated trials

mu_1

the lower bound. The default value is mu_1 = 0.6 * target

mu_2

the upper bound. The default value is mu_2 = 1.4 * target

startdose

the starting dose level. The default value is startdose = 1

seed

the seed. The default value is seed = 100

Value

get_oc_gBOIN_Continuous() returns the operating characteristics of generalized Bayesian optimal interval design (gBOIN) as a list object, including: (1) selection percentage of each dose, (2) the average number of patients treated at each dose

References

Mu, Rongji, Ying Yuan, Jin Xu, Sumithra J. Mandrekar, and Jun Yin. "gBOIN: a unified model-assisted phase I trial design accounting for toxicity grades, and binary or continuous end points." Journal of the Royal Statistical Society. Series C: Applied Statistics 68, no. 2 (2019): 289-308.

Examples

# NOT RUN {
target <- 1.47
c_true <- c(0.11, 0.25, 0.94, 1.47, 2.38, 2.40)
ncohort <- 10
cohortsize <- 3
ntrial <- 4000
get_oc_gBOIN_Continuous(target = target, c_true = c_true,
                        ncohort = ncohort, cohortsize = cohortsize,
                        ntrial = ntrial)
# }