
Print the Operating Characteristics of a BSSR Design
Source:R/print.bbssr_powerbssr.R
print.bbssr_powerbssr.RdPrint the Operating Characteristics of a BSSR Design
Usage
# S3 method for class 'bbssr_powerbssr'
print(x, digits = 4, ...)Arguments
- x
An object of class
bbssr_powerbssrreturned byBinaryPowerBSSR- digits
Number of significant digits used for the power
- ...
Further arguments, currently ignored
Examples
res <- BinaryPowerBSSR(
p = 0.45,
Delta.A = 0.3, Delta.T = 0.3,
N1 = 5, N2 = 5, omega = 0.5, r = 1,
alpha = 0.025, tar.power = 0.8, Test = 'Chisq'
)
print(res)
#> Blinded sample size re-estimation for a binary endpoint
#>
#> Test : Chisq
#> Alternative : greater
#> Design rule : unrestricted
#> Initial size : N1 = 5, N2 = 5
#> Interim fraction: 0.5, giving n1 = 3 and n2 = 3
#> Treatment effect: assumed 0.3, true 0.3 (risk difference)
#> Re-estimation : exact power of Chisq at level 0.025
#> Alpha : 0.025, target power 0.8
#>
#> p p1 p2 power.BSSR power.TRAD E.N
#> 0.45 0.6 0.3 0.719 0.1667 73.3