View source: R/get_oc_gBOIN_continuous.R
get_oc_gBOIN_continuous | R Documentation |
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
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)
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 |
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
Chia-Wei Hsu, Haitao Pan, Rongji Mu
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.
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)
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