| MFBCRMSimTrial {FBCRM} | R Documentation |
Provides simulation results using MFBCRM
Description
Provides simulation results using MFBCRM
Usage
MFBCRMSimTrial(max_samp, Cohort, ptrue, mu_mat, p_rho, sigma, mtd, p_u, B, M)
Arguments
max_samp |
Total number of patients recruited/will be recruited in the trial. |
Cohort |
Number of patients within each cohort. |
ptrue |
True toxicity probability vector. |
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). |
p_u |
Cut-off toxicity probability for first dose. |
B |
Number of Iterations to run for MCMC. |
M |
Number of simulations to run. |
Value
A list containing (1) Design parameters and prior hyperparameters used for simulating the trials and (2) a summary of the trial simulation results including the percent of times each dose was selected and the average number of toxicities seen in the trial.
Examples
max_samp=15 ##Change to larger size
Cohort=3
ptrue=c(0.01,0.05,0.15,0.3,0.45,0.5,0.6,0.8)
##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
p_u=0.9
B=200 ##Number of iterations, change to 2k
M=10 ##Number of simulations, change to larger
Z=MFBCRMSimTrial(max_samp,Cohort,ptrue,mu_mat,p_rho,sigma,mtd,p_u,B,M)
Z