SD.sim: Conduct the simulation studies of the standard design

In esDesign: Adaptive Enrichment Designs with Sample Size Re-Estimation

Description

The SD.sim() is used to implement the simulation studies of the standard design.

Usage

SD.sim(N, rho, alpha, beta, theta, theta0, sigma0, nSim, Seed)

Arguments

N	The total sample size required
rho	The proportion of subgroup 1
alpha	The overall Type I error rate
beta	The (1 -Power)
theta	The sizes of treatment effects for subgroups 1 and 2 in experimental arm
theta0	The size of treatment effect for the control arm
sigma0	The variance of the treatment effect
nSim	The number of simulated studies
Seed	The random seed

Value

A list contains,

• nTotal the total sample used

• The power of the specified trial. Here, the power is defined as the probability of rejecting the null hypothesis.

Examples

N <- 620
rho <- 0.5
alpha <- 0.05
beta <- 0.2
theta <- c(0.2,0.0)
theta0 <- 0
sigma0 <- 1
nSim <- 1000
Seed <- 6
SD.sim(N = N, rho = rho,
       alpha = alpha, beta = beta, theta = theta, theta0 = theta0,
       sigma0 = sigma0, nSim = nSim, Seed = Seed)

esDesign documentation built on July 13, 2021, 9:06 a.m.