select_mtd_QuasiBOIN {UnifiedDoseFinding}

Select the maximum tolerated dose (MTD)-defined by equivalent score (ET) using gBOIN design

Description

Select the maximum tolerated dose (MTD) defined by the Equivalent Score (ET) in Quasi-CRM design (Yuan et al. 2007) and Robust-Quasi-CRM design (Pan et al. 2014) when the trial is completed using the gBOIN design (Mu et al. 2017)

Usage

select_mtd_QuasiBOIN(target, npts, ntox, cutoff.eli = 0.95, extrasafe = FALSE,
                     offset = 0.05, print = FALSE)

Arguments

target

the target DLT rate

npts

the number of patients enrolled at each dose level

ntox

the toxicity score at each dose level

cutoff.eli

the cutoff to eliminate an overly toxic dose for safety. The default value is cutoff.eli = 0.95

extrasafe

extrasafe set extrasafe = TRUE to impose a more stringent stopping rule. The default value is extrasafe = FALSE

offset

when extrasafe = TRUE will have effect. The default value is offset = 0.05

print

print the additional result or not. The default value is print = FALSE

Value

select_mtd_QuasiBOIN() returns the selected dose

Author(s)

Chia-Wei Hsu, Haitao Pan, Rongji Mu

References

Yuan, Z., R. Chappell, and H. Bailey. "The continual reassessment method for multiple toxicity grades: a Bayesian quasi-likelihood approach." Biometrics 63, no. 1 (2007): 173-179.

Pan, Haitao, Cailin Zhu, Feng Zhang, Ying Yuan, Shemin Zhang, Wenhong Zhang, Chanjuan Li, Ling Wang, and Jielai Xia. "The continual reassessment method for multiple toxicity grades: a Bayesian model selection approach." PloS one 9, no. 5 (2014): e98147.

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 <- 0.47 / 1.5
n <- c(3, 3, 6, 9, 9, 0)
y <- c(0, 0, 1.333333, 2.333333, 3.666667, 0)
select_mtd_QuasiBOIN(target = target, npts = n, ntox = y)