Description Usage Arguments Value References
View source: R/stats-postprob.r
Thall and Simon's criterion function for determining the trial decision cutoffs based on the posterior probability.
1 | postprob(y, n, alpha_e, beta_e, alpha_s, beta_s, delta)
|
y |
the number of responses among n patients treated by the experimental drug at a certain stage of the trial. |
n |
the number of patients treated by the experimental drug at a certain stage of the trial. |
alpha_e |
the hyperparameter (shape1) of the Beta prior for the experimental drug. |
beta_e |
the hyperparameter (shape2) of the Beta prior for the experimental drug. |
alpha_s |
the hyperparameter (shape1) of the Beta prior for the standard drug. |
beta_s |
the hyperparameter (shape2) of the Beta prior for the standard drug. |
delta |
the minimally acceptable increment of the response rate for the experimental drug compared with the standard drug. |
prob |
the posterior probability: \Pr(p_E > p_S + δ | y) |
Thall, P. F., Simon, R. (1994). Practical Bayesian guidelines for phase IIB clinical trials. Biometrics 50: 337-349.
Yin, G. (2012). Clinical Trial Design: Bayesian and Frequentist Adaptive Methods. New York: Wiley.
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