Last chance! 50% off unlimited learning
Sale ends in
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)
select_mtd_QuasiBOIN(target, npts, ntox, cutoff.eli = 0.95, extrasafe = FALSE,
offset = 0.05, print = FALSE)select_mtd_QuasiBOIN() returns the selected dose
the target DLT rate
the number of patients enrolled at each dose level
the toxicity score at each dose level
the cutoff to eliminate an overly toxic dose for safety. The default value is cutoff.eli = 0.95
extrasafe set extrasafe = TRUE to impose a more stringent stopping rule. The default value is extrasafe = FALSE
when extrasafe = TRUE will have effect. The default value is offset = 0.05
print the additional result or not. The default value is print = FALSE
Chia-Wei Hsu, Haitao Pan, Rongji Mu
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.
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)
Run the code above in your browser using DataLab