GetMFBCRM | R Documentation |
Provides the optimal dose level closest to the mtd where the next cohort of patients should be allotted based on the data
GetMFBCRM(X, Y, Cohort, mu_mat, p_rho, sigma, mtd, B, p_u)
X |
Vector of patients allotted to each dose level . |
Y |
Vector of toxicity events in each dose. |
Cohort |
Number of patients within each cohort. |
mu_mat |
Prior expected toxicity probability matrix at each dose. |
p_rho |
Prior probability that two dose-toxicity probabilities will not cluster together. |
sigma |
Prior standard deviation for the parameter alpha. |
mtd |
Maximum Tolerated dose toxicity probability (pre defined). |
B |
Number of Iterations to run for MCMC. |
p_u |
Cut-off toxicity probability for first dose |
A list containing (1) Design parameters and prior hyperparameters used for running the trials and (2) a posterior summary of the resuls, including the next dose to assign patients to.
X=c(3, 6, 3, 3, 3, 9, 15, 6) Y=c(1, 0, 1, 0, 0, 2, 4, 5) Cohort=3 ##Skeletons for 8 doses mu1=c(0.02,0.06,0.08,0.12,0.2,0.3,0.4,0.5) mu2=c(0.01,0.05,0.09,0.14,0.18,0.22,0.26,0.30) mu3=c(0.10,0.20,0.30,0.40,0.50,0.60,0.70,0.80) mu4=c(0.20,0.30,0.40,0.50,0.60,0.65,0.70,0.75) mu_mat=matrix(c(mu1,mu2,mu3,mu4),nrow = 4,byrow = TRUE) p_rho=0.9 sigma = 2 mtd = 0.3 B=2000 ##Number of iterations p_u=0.9 Z=GetMFBCRM(X, Y, Cohort, mu_mat, p_rho, sigma, mtd, B, p_u) Z
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