The parameters required by the trialr implementation of Thall et al's
hierarchical Bayesian model for binary outcomes are bundled up in a list, for
convenience.
The model analyses the binary response rates to a common drug of multiple
subtypes of a single disease.
See the included vignette for a full description and demonstration.
A list with elements identified above.
The list object has the following elements:
m, the number of disease sub-types under investigation,
an integer.
x, the counts of responses in the m cohorts,
a vector of non-negative integers.
n, the counts of patients in the m cohorts,
a vector of non-negative integers.
target_resp the threshold response rate sought in the cohorts,
a number between 0 and 1.
mu_mean, mean of the normal prior distribution on the treatment
effects.
mu_sd, standard deviation of the normal prior distribution
on the treatment effects.
tau_alpha, alpha parameter of the gamma prior distribution on
the precision, tau.
tau_beta, beta parameter of the gamma prior distribution on
the precision, tau.
An example of the thallhierarchicalbinary_params list is returned by
thallhierarchicalbinary_parameters_demo.