Description Usage Arguments Value References See Also Examples
Calculates the generalized exact one stage phase II design based on the R function ph2single.
1 2 3 | gen2single(pu,pa,ep1,ep2,nsoln=5)
## S3 method for class 'gen2single'
print(x, ...)
|
pu |
unacceptable response/toxicity rate |
pa |
response/toxicity rate that is desirable |
ep1 |
threshold for the probability of declaring drug/treatment desirable under p0 |
ep2 |
threshold for the probability of rejecting the drug/treatment under p1 |
nsoln |
number of designs with given alpha and beta |
x |
object returned by gen2single |
... |
arguments to be passed onto print command called within |
gen2single returns the optimal design with pu, pa, alpha, and beta as above and:
out |
matrix of the single-stage designs up to nsoln. The 4 columns are: r, n, alpha (type I error), beta (type II erro) |
The "print" method formats and returns the optimal design.
Kim S and Wong WK. Phase II Two-Stage Single-Arm Clinical Trials for Testing Toxicity Levels. Commun Stat Appl Methods. 2019 Mar;26(2):163-173. https://www.ncbi.nlm.nih.gov/pubmed/31106162.
1 2 3 4 5 6 7 8 9 | # Single-stage safety design with pu (p0) = 0.33 vs. pa (p1) = 0.20
gen2single(0.33, 0.20, 0.05, 0.20)
# Single-stage efficacy design with pu (p0) = 0.67 vs. pa (p1) = 0.80
gen2single(0.67, 0.80, 0.05, 0.20)
# save and print
safety1 = gen2single(0.33, 0.20, 0.05, 0.20)
print(safety1)
|
Loading required package: clinfun
Generalized 1-stage Phase II design
Unacceptable response/toxicity rate: 0.33
Desirable response/toxicity rate: 0.2
Error rates: alpha = 0.05 ; beta = 0.2
n r Type I error Type II error
Optimal 73 18 0.04747 0.1957
Generalized 1-stage Phase II design
Unacceptable response/toxicity rate: 0.67
Desirable response/toxicity rate: 0.8
Error rates: alpha = 0.05 ; beta = 0.2
n r Type I error Type II error
Optimal 73 55 0.04747 0.1957
Generalized 1-stage Phase II design
Unacceptable response/toxicity rate: 0.33
Desirable response/toxicity rate: 0.2
Error rates: alpha = 0.05 ; beta = 0.2
n r Type I error Type II error
Optimal 73 18 0.04747 0.1957
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.