calculate_dtps: Produce the Dose Transition Pathways

In dtpcrm: Dose Transition Pathways for Continual Reassessment Method

Description

calculate_dtps is used to produce the dose transition pathways for the continual reassessment method with specified design options. These pathways present the possible model recommendations based on all permumations of trial outcomes.

Usage

calculate_dtps(next_dose, cohort_sizes, prev_tox = c(), prev_dose =
    c(), dose_func = applied_crm, ...)

Arguments

next_dose	An integer value representing the dose to be assigned to the first cohort of subjects in the pathways.
cohort_sizes	A vector of cohort sizes representing the size of the cohorts to be treated with the recommended dose at each decision point.
prev_tox	A vector of previous subject outcomes; 1 indicates toxicity, 0 otherwise.
prev_dose	A vector of previous subject doses; The length of prev_dose must be equal to that of prev_tox.
dose_func	A function such as applied_crm which produces an object of class 'mtd'. To be used for calculation of the next recommended dose for each pathway permutation.
...	Any other arguments to be passed to dose_func; for specific arguments related to applied_crm see.

Value

Produces a dataframe containing all possible permutations of outcomes for each cohort based on cohort_sizes and the recommended doses for such permutations.

Examples

prior  <- c(0.1, 0.2, 0.5)
target <- 0.15
prev_tox <- c(0, 0, 0)
prev_dose <- c(2, 2, 2)
cohort_sizes <- c(2, 3)

next_dose = applied_crm(prior = prior, target = target,
                        tox = prev_tox, level = prev_dose)$mtd

dose_func <- applied_crm

DTP = calculate_dtps(next_dose, cohort_sizes, prev_tox = prev_tox,
                      prev_dose = prev_dose, dose_func = applied_crm,
                      prior = prior, target = target)

dtpcrm documentation built on Aug. 20, 2019, 5:23 p.m.