AED.sim {esDesign} | R Documentation |
The AED.sim()
is used to conduct the simulation studies
of the Adaptive Enrichment Design without early stopping boundary. The AED
design is quite similar with the AED1_SSR design. But, in the AED design,
the futility stopping boundary and the Sample Size Re-estimation Procedure
are removed. On the contrary, a fixed sample size is used to replace the
sample size re-estimated procedure. In addition, an \epsilon
-rule is
also introduced to select the subgroup with larger subgroup-specific test
statistic.
AED.sim(
N1,
N2,
rho,
alpha,
beta,
theta,
theta0,
K,
Info,
epsilon,
sigma0,
nSim,
Seed
)
N1 |
The sample size used at the first stage |
N2 |
The sample size used at the second stage |
rho |
The proportion of the subgroup 1 |
alpha |
The overall Type I error rate |
beta |
The (1 - Power) |
theta |
The sizes of treatment effects in subgroups 1 and 2 among the experimental arm |
theta0 |
The size of treatment effect in standard arm |
K |
The number of subgroups |
Info |
The observed information |
epsilon |
The threshold of difference between the subgroup-specific test statistics |
sigma0 |
The variance of the treatment effect |
nSim |
The number of simulated studies |
Seed |
The random Seed |
A list contains
nTotal The average expected sample size
H00 The probability of rejecting the null hypothesis of H_{00}
H01 The probability of rejecting the null hypothesis of H_{01}
H02 The probability of rejecting the null hypothesis of H_{02}
H0 The probabilities of rejecting at least one of the null hypothesis
Enrich01 The prevalence of adaptive enrichment of subgroup 1
Enrich02 The prevalence of adaptive enrichment of subgroup 2
Lin, R., Yang, Z., Yuan, Y. and Yin, G., 2021. Sample size re-estimation in adaptive enrichment design. Contemporary Clinical Trials, 100, p.106216. <doi: 10.1016/j.cct.2020.106216>
N1 <- 310
N2 <- 310
rho <- 0.5
alpha <- 0.05
beta <- 0.20
theta <- c(0,0)
theta0 <- 0
K <- 2
Info <- 0.5
epsilon <- 0.5
sigma0 <- 1
nSim <- 1000
Seed <- 6
AED.sim(N1 = N1, N2 = N2, rho = rho, alpha = alpha,
beta = beta, theta = theta, theta0 = theta0,
K = K, Info = Info, epsilon = epsilon,
sigma0 = sigma0, nSim = nSim, Seed = Seed)