GetESS: Determines Prior ESS for fixed values of sigma_alpha^2 and...

In SubTite: Subgroup Specific Optimal Dose Assignment

Description

Uses the prior means for the intercept and slope parameters and the number of doses to obtain an approximate prior ESS for the given prior variances. The user should calibrate varint and varbeta with varint>varbeta such that the ESS value is 1.

Usage

GetESS(
  Dose,
  meanmu,
  meanslope,
  MeanInts,
  MeanSlopes,
  VarInt,
  VarSlope,
  phetero
)

Arguments

Dose	Vector containing standardized doses.
meanmu	Prior mean for baseline intercept.
meanslope	Prior mean for baseline slope.
MeanInts	Vector of prior means for the group specific intercept parameters.
MeanSlopes	Vector of prior means for the group specific slope parameters.
VarInt	Prior variance for the intercept parameters.
VarSlope	Prior variance for the slope parameters.
phetero	Prior probability of clustering

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

###Specify the prior hypermeans
meanmu=-.5
meanslope=-.05
MeanInts = c(0,-.5,-.1)
MeanSlopes = c(0,.1,0)
Dose=sort(rnorm(5))
VarInt=5
VarSlope=1
phetero=.9
GetESS(Dose,meanmu,meanslope,MeanInts,MeanSlopes,VarInt,VarSlope,phetero)

SubTite documentation built on Sept. 15, 2021, 9:07 a.m.