AED2_SSR.sim {esDesign} | R Documentation |
Conduct the simulation studies of the Adaptive Enrichment Design (Strategy 2) with Sample Size Re-estimation Procedure
Description
The AED2_SSR.sim()
is used to conduct the simulation studies
of the Adaptive Enrichment Design (Strategy) with sample size re-estimation
procedure. The AED2-SSR is different from the AED3-SSR, in which an
-rule is introduced to select the subgroup with larger
subgroup-specific test statistic.
Usage
AED2_SSR.sim(
N1,
rho,
alpha,
beta,
pstar,
theta,
theta0,
sigma0,
epsilon,
nSim,
Seed
)
Arguments
N1 |
The sample size used in the first stage |
rho |
The proportion of subgroup 1 |
alpha |
The overall Type I error rate |
beta |
The (1 - power) |
pstar |
The |
theta |
The sizes of treatment effect in subgroups 1 and 2 with the experimental treatment |
theta0 |
The size of treatment effect with the standard treatment |
sigma0 |
The variance of the treatment effect |
epsilon |
The threshold of the difference between subgroup-specific test statistics |
nSim |
The number of simulated studies |
Seed |
The random seed |
Value
A list contains
nTotal The average expected sample size
H00 The probability of rejecting the null hypothesis of
H01 The probability of rejecting the null hypothesis of
H02 The probability of rejecting the null hypothesis of
H0 The probabilities of rejecting at least one of the null hypothesis
ESF The probability of early stopping for futility
ESE The probability of early stopping for efficacy
Enrich01 The prevalence of adaptive enrichment of subgroup 1
Enrich02 The prevalence of adaptive enrichment of subgroup 2
Trigger03 The prevalence of no enrichment
Examples
N <- 310
rho <- 0.5
alpha <- 0.05
beta <- 0.2
theta <- c(0,0)
theta0 <- 0
sigma0 <- 1
epsilon <- 0.5
pstar <- 0.20
nSim <- 1000
Seed <- 6
res <- AED2_SSR.sim(N1 = N, rho = rho, alpha = alpha,
beta = beta, theta = theta, theta0 = theta0,
sigma0 = sigma0, pstar = pstar, epsilon = epsilon,
nSim = nSim, Seed = Seed)