stack_sims_vert: Stack 'simulations_collection' results vertically

In escalation: A Modular Approach to Dose-Finding Clinical Trials

Stack simulations_collection results vertically

Description

Stack simulations_collection results vertically

Usage

stack_sims_vert(sim_map, target_dose = NULL, alpha = 0.05)

Arguments

sim_map	object of type simulations_collection
target_dose	optional integer vector, the dose of interest. All doses are analysed if omitted, which is the default.
alpha	confidence level for asymptotic normal confidence intervals. The default value is 0.05 to get 95 percent confidence intervals.

Value

a data.frame

Examples

# In a five-dose scenario, we have assumed probabilities for Prob(tox):
true_prob_tox <- c(0.05, 0.10, 0.15, 0.18, 0.45)
# and Prob(eff):
true_prob_eff <- c(0.40, 0.50, 0.52, 0.53, 0.53)

# Let us compare two BOIN12 variants that differ in their stopping params:
designs <- list(
  "BOIN12 v1" = get_boin12(num_doses = 5,
                           phi_t = 0.35, phi_e = 0.25,
                           u2 = 40, u3 = 60,
                           c_t = 0.95, c_e = 0.9) %>%
    stop_at_n(n = 36),
  "BOIN12 v2" = get_boin12(num_doses = 5,
                           phi_t = 0.35, phi_e = 0.25,
                           u2 = 40, u3 = 60,
                           c_t = 0.5, c_e = 0.5) %>%
    stop_at_n(n = 36)
)
# For illustration we run only 10 iterates:
x <- simulate_compare(
  designs,
  num_sims = 10,
  true_prob_tox,
  true_prob_eff
)
stack_sims_vert(x)

escalation documentation built on June 27, 2024, 5:09 p.m.