sim.summary {iAdapt} | R Documentation |
Visualize simulation results (Stages 1&2)
Description
Results from simulated trials (using sim.trials()
function)
displayed in tabular and/or graphical format
Usage
sim.summary(sims, print = TRUE)
Arguments
sims |
output from sim.trials |
print |
logical specifying whether to print tables in console |
Value
Printed tables and a list of the following objects:
pct.treated - IQR (25th percentile, median, 75th percentile) of percent of subjects treated at each dose level
efficacy - IQR of efficacy observed at each dose level
Examples
# Number of pre-specified dose levels
dose <- 5
# Vector of true toxicities associated with each dose
dose.tox <- c(0.05, 0.10, 0.20, 0.35, 0.45)
# Acceptable (p_yes) and unacceptable (p_no) DLT rates used for establishing safety
p_no <- 0.40
p_yes <- 0.15
# Likelihood-ratio (LR) threshold
K <- 2
# Cohort size used in stage 1
coh.size <- 3
# Vector of true mean efficacies per dose (here mean percent persistence per dose)
m <- c(5, 15, 40, 65, 80) # MUST BE THE SAME LENGTH AS dose.tox
# Efficacy(equal) variance per dose
v <- rep(0.01, 5)
# Total sample size (stages 1&2)
N <- 25
# Stopping rule: if dose 1 is the only safe dose, allocate up to 9 pts.
stop.rule <- 9
simulations = sim.trials(numsims = 100, dose, dose.tox, p1 = p_no, p2 = p_yes, K,
coh.size, m, v, N, stop.rule = stop.rule, cohort = 1, samedose = TRUE, nbb = 100)
summary = sim.summary(simulations)
[Package iAdapt version 2.0.1 Index]