Description Usage Arguments Value References Examples
The design function to sequentially monitor sample size and stopping boundary for both futility and efficacy
1 |
type |
type of stopping criterion: "PostP" or "PredP". |
a |
the hyperparameter (shape1) of the Beta prior for the experimental drug. |
b |
the hyperparameter (shape2) of the Beta prior for the experimental drug. |
nmin |
the minimum number of patients treated by the experimental drug. |
nmax |
the maximum number of patients treated by the experimental drug. |
p0 |
the pre-specified reseponse rate. |
p1 |
the pre-specified reseponse rate. |
theta0 |
the cutoff probability for futility: typically, θ_0 = [0.01, 0.1]. |
theta1 |
the cutoff probability for efficacy: typically, θ_1 = [0.9, 0.99]. |
theta_t |
the cutoff probability for efficacy including future patients; typically, θ_T = [0.85, 0.95]. Set 0.9 by default. |
optimize |
logical value, if optimize=TRUE, then only output the minimal sample size for the same number of futility and efficacy boundaries. |
boundsets |
the boundaries sets: U_n and L_n |
Thall, P. F., Simon, R. (1994). Practical Bayesian guidelines for phase IIB clinical trials. Biometrics 50: 337-349.
Lee, J. J., Liu, D. D. (2008). A predictive probability design for phase II cancer clinical trials. Clinical Trials 5: 93-106.
Yin, G. (2012). Clinical Trial Design: Bayesian and Frequentist Adaptive Methods. New York: Wiley.
1 2 3 4 5 6 7 8 9 10 | ## Using vague prior Unif(0,1), sequential monitor
DT.design(type = "PostP", a=1, b=1, nmin=20, nmax=60, p0=0.4, p1=0.3, theta0 = 0.05, theta1 = 0.9)
DT.design(type = "PredP", a=1, b=1, nmin=20, nmax=60, p0=0.4, p1=0.3, theta0 = 0.05, theta1 = 0.9,
theta_t = 0.9)
## Or using Jeffery prior with Beta(0.5,0.5), multi-stage monitor when sample size is
## 10, 20, ..., 80
DT.design(type = "PostP", a=0.5, b=0.5, nmin=1, nmax=85, p0=0.3, p1=0.3, theta0 = 0.05,
theta1 = 0.9)[(1:8)*10,]
DT.design(type = "PredP", a=0.5, b=0.5, nmin=1, nmax=85, p0=0.3, p1=0.3, theta0 = 0.05,
theta1 = 0.9, theta_t = 0.9)[(1:8)*10,]
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.