get_oc_gBOIN_continuous {UnifiedDoseFinding} | R Documentation |
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
Author(s)
Chia-Wei Hsu, Haitao Pan, Rongji Mu
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
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)