careful_escalation {trialr} | R Documentation |
Dose selection function that practices careful escalation.
Description
Dose selection function that avoids dose-skipping in escalation and advocates stopping when there is sufficient evidence that the risk of toxicity at a reference dose exceeds some threshold.
Usage
careful_escalation(
dose_finding_fit,
tox_threshold,
certainty_threshold,
reference_dose = 1,
start_dose = 1
)
Arguments
dose_finding_fit |
Instance of |
tox_threshold |
numeric, the toxicity threshold. |
certainty_threshold |
numeric, the required confidence that the risk of toxicity exceeds 'tox_threshold' to advocate stopping. |
reference_dose |
the integer index of the reference dose. 1 by default, i.e. the lowest dose-level. |
start_dose |
the integer index of the desired starting dose. 1 by default. This is required for the function to give the desired answer when no patients have yet been treated. |
Value
an integer dose-level
Examples
## Not run:
# CRM example
fit <- stan_crm('1N 2N 3T', skeleton = c(0.1, 0.2, 0.35, 0.6),
target = 0.2, model = 'empiric', beta_sd = 1,
seed = 123)
## End(Not run)
[Package trialr version 0.1.6 Index]