careful_escalation: Dose selection function that practices careful escalation.

In trialr: Clinical Trial Designs in 'rstan'

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 dose_finding_fit.
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)

trialr documentation built on April 1, 2023, 12:03 a.m.