BebopInPeps2
model in StanThe parameters required by the BebopInPeps2
Stan model are bundled up in
a list, for convenience. This list contains elements that we might call "data"
(e.g. trial outcomes), and "parameters" (e.g. modelling choices).
A list with elements identified above.
The list object has the following elements:
J
, Total number of patients used, positive integer.
eff
, a vector of logical values to represent the presence (=1)
or absence (=0) of efficacy events in the patients.
tox
, a vector of logical values to represent the presence (=1)
or absence (=0) of toxicity events in the patients.
x1
, a vector of logical values to represent whether the
patients are pre-treated (=1) or treatment-naive (=0).
x2
, a vector of logical values to represent whether the
patients are Low PD-L1 (=1) or not (=0).
x3
, a vector of logical values to represent whether the
patients are Medium PD-L1 (=1) or not (=0). Logically, if x2
and
x3
are both zero, then the patient is High PD-L1.
cohort_n
, vector of cohort sizes, provided for convenience.
cohort_eff
, vector of counts of efficacy events by cohort,
provided for convenience.
cohort_tox
, vector of counts of toxicity events by cohort,
provided for convenience.
alpha_mean
, The prior mean of alpha. Alpha is the efficacy model
intercept.
alpha_sd
, The prior standard deviation of alpha. Alpha is the
efficacy model intercept.
beta_mean
, The prior mean of beta. Beta is the efficacy model
term for being previously treated.
beta_sd
, The prior standard deviation of beta. Beta is the
efficacy model term for being previously treated.
gamma_mean
, The prior mean of gamma. Gamma is the efficacy model
term for being PD-L1 score = Low.
gamma_sd
, The prior standard deviation of gamma. Gamma is the
efficacy model term for being PD-L1 score = Low.
zeta_mean
, The prior mean of zeta. Zeta is the efficacy model
term for being PD-L1 score = Medium.
zeta_sd
, The prior standard deviation of zeta. Zeta is the
efficacy model term for being PD-L1 score = Medium.
lambda_mean
, The prior mean of lambda. Lambda is the toxicity
model intercept.
lambda_sd
, The prior standard deviation of lambda. Lambda is the
toxicity model intercept.
psi_mean
, The prior mean of psi. Psi is the joint model
association parameter.
psi_sd
, The prior standard deviation of psi. Psi is the joint
model association parameter.
An example of the peps2_params list is returned by
peps2_get_data
.