powered by
Obtains the prior and posterior probabilities for Simon's Bayesian basket discovery trials.
simonBayesAnalysis( nstrata = NA_integer_, r = NA_real_, n = NA_real_, lambda = NA_real_, gamma = NA_real_, phi = NA_real_, plo = NA_real_ )
A list containing the following five components:
case: The matrix with each row corresponding to a combination of drug activity over strata represented by the columns.
case
prior_case: The vector of joint prior probabilities for the stratum-specific response rates.
prior_case
prior_stratum: The vector of marginal prior probabilities for the stratum-specific response rates.
prior_stratum
post_case: The vector of joint posterior probabilities for the stratum-specific response rates.
post_case
post_stratum: The vector of marginal posterior probabilities for the stratum-specific response rates.
post_stratum
The number of strata.
The vector of number of responders across strata.
The vector of number of subjects across strata.
The prior probability that the drug activity is homogeneous across strata.
The prior probability that the drug is active in a stratum.
The response probability for an active drug.
The response probability for an inactive drug.
Kaifeng Lu, kaifenglu@gmail.com
a = simonBayesAnalysis( nstrata = 10, r = c(8,0,1,1,6,2,0,0,3,3), n = c(19,10,26,8,14,7,8,5,4,14), lambda = 0.5, gamma = 0.33, phi = 0.35, plo = 0.15) a$post_stratum
Run the code above in your browser using DataLab