View source: R/efftox_priors.R
efftox_priors | R Documentation |
Simple class to hold prior hyperparameters for the EffTox model.
efftox_priors(
alpha_mean,
alpha_sd,
beta_mean,
beta_sd,
gamma_mean,
gamma_sd,
zeta_mean,
zeta_sd,
eta_mean,
eta_sd,
psi_mean,
psi_sd
)
alpha_mean |
The prior normal mean of the intercept term in the toxicity logit model. A number. |
alpha_sd |
The prior normal standard deviation of the intercept term in the toxicity logit model. A number. |
beta_mean |
The prior normal mean of the slope term in the toxicity logit model. A number. |
beta_sd |
The prior normal standard deviation of the slope term in the toxicity logit model. A number. |
gamma_mean |
The prior normal mean of the intercept term in the efficacy logit model. A number. |
gamma_sd |
The prior normal standard deviation of the intercept term in the efficacy logit model. A number. |
zeta_mean |
The prior normal mean of the slope term in the efficacy logit model. A number. |
zeta_sd |
The prior normal standard deviation of the slope term in the efficacy logit model. A number. |
eta_mean |
The prior normal mean of the squared term coefficient in the efficacy logit model. A number. |
eta_sd |
The prior normal standard deviation of the squared term coefficient in the efficacy logit model. A number. |
psi_mean |
The prior normal mean of the association term in the combined efficacy-toxicity model. A number. |
psi_sd |
The prior normal standard deviation of the association term in the combined efficacy-toxicity model. A number. |
list-like, instance of class efftox_priors
.
Kristian Brock kristian.brock@gmail.com
Thall, P., & Cook, J. (2004). Dose-Finding Based on Efficacy-Toxicity Trade-Offs. Biometrics, 60(3), 684-693.
Thall, P., Herrick, R., Nguyen, H., Venier, J., & Norris, J. (2014). Effective sample size for computing prior hyperparameters in Bayesian phase I-II dose-finding. Clinical Trials, 11(6), 657-666. https://doi.org/10.1177/1740774514547397
# The priors used in Thall et al. (2014)
p <- efftox_priors(alpha_mean = -7.9593, alpha_sd = 3.5487,
beta_mean = 1.5482, beta_sd = 3.5018,
gamma_mean = 0.7367, gamma_sd = 2.5423,
zeta_mean = 3.4181, zeta_sd = 2.4406,
eta_mean = 0, eta_sd = 0.2,
psi_mean = 0, psi_sd = 1)
# The class exists simply to hold these twelve values.
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