PredP {ph2bye} | R Documentation |
The predictive probability criterion function for Phase II single-arm design
Description
Lee and Liu's criterion function for determining the trial decision cutoffs based on the predictive probability.
Usage
PredP(x, n, nmax, a, b, p0, theta_t)
Arguments
x |
the number of responses among |
n |
the number of patients treated by the experimental drug at a certain stage of the trial. |
nmax |
the maximum number of patients treated by the experimental drug. |
a |
the hyperparameter (shape1) of the Beta prior for the experimental drug. |
b |
the hyperparameter (shape2) of the Beta prior for the experimental drug. |
p0 |
the the response rate for the standard drug. |
theta_t |
the cutoff probability for efficacy including future patients; typically, |
Value
prob |
the predictive probability: |
References
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.
Examples
# Using vague prior Uniform(0,1), i.e. Beta(1,1)
PredP(16, 23, 40, 1, 1, 0.5, 0.9)