ph2simon {clinfun} | R Documentation |
Simon's 2-stage Phase II design
Description
Calculates Optimal and Minimax 2-stage Phase II designs given by Richard Simon
Usage
ph2simon(pu, pa, ep1, ep2, nmax=100)
## S3 method for class 'ph2simon'
print(x, ...)
## S3 method for class 'ph2simon'
plot(x, ...)
Arguments
pu |
unacceptable response rate; baseline response rate that needs to be exceeded for treatment to be deemed promising |
pa |
response rate that is desirable; should be larger than pu |
ep1 |
threshold for the probability of declaring drug desirable under pu (target type 1 error rate); between 0 and 1 |
ep2 |
threshold for the probability of rejecting the drug under pa (target type 2 error rate); between 0 and 1 |
nmax |
maximum total sample size (default 100; can be at most 1000) |
x |
object returned by ph2simon |
... |
arguments to be passed onto plot and print commands called within |
Value
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 in the matrix are:
|
Trial is stopped early if <= r1 responses are seen in the first stage and treatment is considered desirable only when >r responses seen.
Methods (by generic)
-
print(ph2simon)
: formats and returns the minimax, optimal and any admissible designs. -
plot(ph2simon)
: plots the expected sample size against the maximum sample size as in Jung et al., 2001
References
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.
See Also
twostage.inference
, oc.twostage.bdry
Examples
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)