Description Usage Arguments Value Author(s) References Examples
View source: R/design.tournoux.R
Calculates Optimal 2-stage Phase II designs given by Caroline Tournoux-Facon (2011).
1 | design.tournoux(alpha=0.05,beta=0.2,p0n,p0p,p1n,p1p,w=1,gamma=0.6)
|
alpha |
Type I error. |
beta |
Type II error. |
p0n |
Max unacceptable response rate for "negative" subgroup. |
p0p |
Max unacceptable response rate for "positive" subgroup. |
p1n |
Min acceptable response rate for "negative" subgroup. |
p1p |
Min acceptable response rate for "positive" subgroup. |
w |
Ratio between the two subgroups \frac{N_{pos}}{N_{neg}}. |
gamma |
Level of the heterogeneity test. |
Returns a data.frame object which components are number of patients, error-rates and power-levels for each stage. The first line of the data.frame corresponds to the arguments for an One-stage Fleming design and the others are two-stages Fleming designs with :
- Non-stratified heterogeneous Fleming two-stage design when psi=0.
- Stratified adaptive Fleming two-stage with identification of heterogeneity of responses in favour of "negative" subgroup when psi=1.
- Stratified adaptive Fleming two-stage with identification of heterogeneity of responses in favour of "positive" subgroup when psi=2.
Patrick Sfumato and Bastien Cabarrou.
Tournoux-Facon C, De Rycke Y and Tubert-Bitter P (2011).Targeting population entering phase III trials: A new stratified adaptive phase II design. Statistics in Medecine 30(8) 801-11.
Tournoux-Facon C, De Rycke Y and Tubert-Bitter P (2011).How a new stratified adaptive phase II design could improve targeting population. Statistics in Medecine 30(13) 1555-62.
1 2 3 4 5 6 7 8 | out.tournoux<-design.tournoux(p0n=0.15,
p0p=0.15,
p1n=0.30,
p1p=0.25,
w=2,
gamma=0.6,
alpha=0.05,
beta=0.1)
|
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