NextBestMaxGain-class: 'NextBestMaxGain'

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

NextBestMaxGain

Description

NextBestMaxGain is the class to find a next best dose with maximum gain value based on a pseudo DLT and efficacy models without samples. It is based solely on the probabilities of the occurrence of a DLT and the values of the mean efficacy responses obtained by using the modal estimates of the DLT and efficacy 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 and ModelEff classes (except EffFlexi).

Usage

NextBestMaxGain(prob_target_drt, prob_target_eot)

.DefaultNextBestMaxGain()

Arguments

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

Slots

prob_target_drt

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

prob_target_eot

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

Note

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

Examples

my_next_best <- NextBestMaxGain(0.35, 0.3)

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