| MaST.sim {esDesign} | R Documentation |
Conduct the simulation studies of the Marker Sequential Test design
Description
The MaST.sim() is used to conduct the simulation studies
of the marker sequential test design (MaST).
Usage
MaST.sim(N, rho, alpha, beta, theta, theta0, sigma0, nSim, Seed)
Arguments
N |
The total sample size used at the trial |
rho |
The proportion of subgroup 1 among the overall patients |
alpha |
The overall Type I error rate |
beta |
The (1 - Power) |
theta |
The sizes of treatment effect in subgroups 1 and 2 with the experimental arm |
theta0 |
The size of treatment effect in the standard arm |
sigma0 |
The variance of the treatment effect |
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
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
References
Freidlin, B., Korn, E. L., and Gray, R. (2014). Marker sequential test (MaST) design. Clinical trials, 11(1), 19-27. <doi:10.1177/1740774513503739>
Examples
N <- 310
rho <- 0.5
alpha <- 0.05
beta <- 0.20
theta <- c(0,0)
theta0 <- 0
sigma0 <- 1
nSim <- 1000
Seed <- 6
MaST.sim(N = N, rho = rho, alpha = alpha, beta = beta,
theta = theta, theta0 = theta0, sigma0 = sigma0,
nSim = nSim, Seed = Seed)