cp: coditional power of a GSD
In AGSDest: Estimation in Adaptive Group Sequential Trials

cp	R Documentation

coditional power of a GSD

Description

cp is a function that computes the conditional power of a GSD.

Usage

cp(GSD)

Arguments

GSD

object of the class GSTobj or list with the following elements: K = number of stages, a = vector with futility boundaries (not supported yet), b = rejection boundaries, t = vector with information fractions, Imax = maximum information number, delta = effect size used for planning the trial; see example blow.

Value

cp returns the conditional power of a GSD.

Author(s)

Niklas Hack niklas.hack@meduniwien.ac.at and Werner Brannath werner.brannath@meduniwien.ac.at

References

O'Brien, PC, Fleming, TR (1979) ”A multiple testing procedure for clinical trials”, Biometrics, 35 , 549-556
Schoenfeld, D (2001) ”A simple Algorithm for Designing Group Sequential Clinical Trials”, Biometrics, 27, 972-974

Examples

##The following calculates the conditional power of a GSD.
GSD <- list(K=4,a=rep(-8,4),b=c(4.333,2.963,2.359,2.014),t=c(0.25,0.5,0.75,1),Imax=0.22,delta=4)
cp(GSD)

AGSDest documentation built on March 18, 2022, 6:30 p.m.