Prints the largest type I error rates of a stratified design with blinded sample size
re-estimation and of the fixed design, returned by StratTypeIErrorBSSR.
Usage
# S3 method for class 'bbssr_stie'
print(x, digits = 6, ...)Details
An object whose attributes were removed, for example by selecting some of its columns, is printed as a data frame.
Examples
tie <- StratTypeIErrorBSSR(Delta.A = 0.2, N1 = c(20, 20), N2 = c(20, 20), omega = 0.5,
r = 1, alpha = 0.025, tar.power = 0.8, Test = 'CMH',
ss.method = 'standard', theta = seq(0.1, 0.9, by = 0.2))
print(tie)
#> Type I error rate of blinded sample size re-estimation for a stratified design
#>
#> Test : CMH
#> Alternative : greater
#> Planned sizes : (20, 20) and (20, 20)
#> Points : 25
#> Maximum : certified over (theta.S1, theta.S2) in [0.1, 0.9] x [0.1, 0.9]
#> Alpha : 0.025
#>
#> Design theta.S1 theta.S2 TIE bound
#> BSSR 0.5 0.5 0.0250852 0.0250852
#> Fixed sample 0.5 0.5 0.0283368 0.0283368