sPwRnaiveBonf: Power of testing the secondary hypothesis using Bonferroni

In triggerstrategy: Trigger Strategy in Clinical Trials

Power of testing the secondary hypothesis using Bonferroni

Description

This function computes the power of testing the secondary hypothesis using Bonferroni

Usage

sPwRnaiveBonf(
  alpha,
  alpha0 = alpha/2,
  t1,
  delta1,
  iuse1,
  phi1 = rep(1, length(alpha))
)

Arguments

alpha	a number shows the overall error rate
alpha0	a number shows the error rate assigned to the primary endpoint initially
t1	a vector shows the information times of the secondary endpoint
delta1	a value of delta for hypothesis H1
iuse1	an integer shows the type of group sequential boundaries used for the secondary endpoint
phi1	a parameter for the power family or the HSD gamma family for the secondary endpoint

Value

a value of the probability that H1 is rejected, the power, using the naive Bonferroni method

Examples

alpha <-  0.025
alpha0 <- 0.01
iuse0 <- 4
iuse1 <- 4
phi0 <- -4
phi1 <- -4
tc0 <- c(3,6,9,12,18)
tc1 <- c(6,12,18,36)
t0 <- (1:5)/5
t1 <- (1:4)/4
rho <- 0.5
delta0 <- 1
delta1 <- 3
sPwRnaiveBonf(alpha=alpha, 
    alpha0=alpha0, 
    t1=t1, 
    delta1=delta1, 
    iuse1=iuse1, 
    phi1=phi1)

triggerstrategy documentation built on July 9, 2023, 5:25 p.m.