prob_tox_exceeds {escalation} | R Documentation |
Probability that the toxicity rate exceeds some threshold.
Description
Get the probability that the toxicity rate at each dose exceeds some threshold.
Get the probability that the efficacy rate at each dose exceeds some threshold.
Usage
prob_tox_exceeds(x, threshold, ...)
prob_eff_exceeds(x, threshold, ...)
Arguments
x |
Object of type |
threshold |
Probability that efficacy rate exceeds what? |
... |
arguments passed to other methods |
Value
numerical vector of probabilities
numerical vector of probabilities
Examples
# CRM example
skeleton <- c(0.05, 0.1, 0.25, 0.4, 0.6)
target <- 0.25
outcomes <- '1NNN 2NTN'
fit <- get_dfcrm(skeleton = skeleton, target = target) %>% fit(outcomes)
# What is probability that tox rate at each dose exceeds target by >= 10%?
fit %>% prob_tox_exceeds(threshold = target + 0.1)
efftox_priors <- trialr::efftox_priors
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)
real_doses = c(1.0, 2.0, 4.0, 6.6, 10.0)
model <- get_trialr_efftox(real_doses = real_doses,
efficacy_hurdle = 0.5, toxicity_hurdle = 0.3,
p_e = 0.1, p_t = 0.1,
eff0 = 0.5, tox1 = 0.65,
eff_star = 0.7, tox_star = 0.25,
priors = p, iter = 1000, chains = 1, seed = 2020)
x <- model %>% fit('1N 2E 3B')
prob_tox_exceeds(x, threshold = 0.45)
[Package escalation version 0.1.10 Index]