SubTite (version 3.0.2)

GetPriorMeans: Calibrates prior means for Dose Finding Trial

Description

Uses the clinician elicited prior reference probabilities for each subgroup and dose to obtain prior means for the Bayesian logistic regression model used in the SubTite trial design.

Usage

GetPriorMeans(Clinician, Dose)

Arguments

Clinician

#Groups X #Doses matrix containing the elicited prior toxicity probabilities at the reference time for each dose and subgroup.

Dose

Vector containing standardized doses.

Value

Returns the nonlinear regression model whos parameter estimates will be used as prior means for the SubTITE Design.

References

[1] Chapple and Thall (2017), Subgroup-specific dose finding in phase I clinical trials based on time to toxicity allowing adaptive subgroup combination

Examples

# NOT RUN {
##Specify elicited reference toxicity probabilities
Clinician = matrix(c(.2,.3,.4,.5,.6,.1,.2,.3,.4,.5,.05,.1,.15,.2,.3),byrow=TRUE,nrow=3)
Dose=sort(rnorm(5))
GetPriorMeans(Clinician,Dose)
# }