ph2simon {clinfun} | R Documentation |
Calculates Optimal and Minimax 2-stage Phase II designs given by Richard Simon
ph2simon(pu, pa, ep1, ep2, nmax=100) ## S3 method for class 'ph2simon': print(x, ...) ## S3 method for class 'ph2simon': plot(x, ...)
pu |
unacceptable response rate |
pa |
response rate that is desirable |
ep1 |
threshold for the probability of declaring drug desirable under p0 |
ep2 |
threshold for the probability of rejecting the drug under p1 |
nmax |
maximum total sample size (default 100; can be at most 500) |
x |
object returned by ph2simon |
... |
arguments to be passed onto plot and print commands called within |
ph2simon returns a list with pu, pa, alpha, beta and nmax as above and:
out |
matrix of best 2 stage designs for each value of total sample size n. the 6 columns are: r1, n1, r, n, EN(p0), PET(p0) |
The "print" method formats and returns the minimax and optimal
designs. The "plot" plots the expected sample size agains the maximum
sample size as in Jung et al., 2001
Simon R. (1989). Optimal Two-Stage Designs for Phase II Clinical Trials. Controlled Clinical Trials 10, 1-10.
Jung SH, Carey M and Kim KM. (2001). Graphical Search for Two-Stage Designs for Phase II Clinical Trials. Controlled Clinical Trials 22, 367-372.
ph2simon(0.2, 0.4, 0.1, 0.1) ph2simon(0.2, 0.35, 0.05, 0.05) ph2simon(0.2, 0.35, 0.05, 0.05, nmax=150)