NextBestTD-class: 'NextBestTD'

In Roche/crmPack: Object-Oriented Implementation of CRM Designs

NextBestTD

Description

NextBestTD is the class to find a next best dose based on pseudo DLT model without samples. Namely, it is to find two next best doses, one for allocation during the trial and the second for final recommendation at the end of a trial without involving any samples, i.e. only DLT responses will be incorporated for the dose-allocation. This is based solely on the probabilities of the occurrence of a DLT obtained by using the modal estimates of the model parameters. There are two target probabilities of the occurrence of a DLT that must be specified: target probability to be used during the trial and target probability to be used at the end of the trial. It is suitable to use it only with the ModelTox model class.

Usage

.DefaultNextBestTD()

NextBestTD(prob_target_drt, prob_target_eot)

Arguments

prob_target_drt	(proportion) see slot definition.
prob_target_eot	(proportion) see slot definition.

Slots

prob_target_drt

(proportion)
the target probability (except 0 or 1) of the occurrence of a DLT to be used during the trial.

prob_target_eot

(proportion)
the target probability (except 0 or 1) of the occurrence of a DLT to be used at the end of the trial.

Note

Typically, end users will not use the .DefaultNextBestTD() function.

Examples

my_next_best <- NextBestTD(0.35, 0.3)

Roche/crmPack documentation built on April 30, 2024, 3:19 p.m.