esDesign (version 1.0.3)

MaST.sim: 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

# NOT RUN {
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)
# }