ITRSelect (version 1.0-1)

TR: Individualized treatment regime based on PAL or SAS.

Description

Recommend individualized treatment regime for future patients, based on the penalized A-learning method, or sequential advantage selection method.

Usage

TR(object, x1, a1 = NULL, x2 = NULL, stage = 1)

Arguments

object

Fitted object of class "PAL" or "SAS".

x1

A matrix consisting of future patients baseline covariates.

a1

A vector consisting of future patients first treatments. Not needed if stage = 2.

x2

A matrix consisting of future patients intermediate covariates. Not needed if stage = 2.

stage

Outputs the first-stage decision rule for future patients if stage = 1. Otherwise, outputs the second-stage decision rule for future patients.

Value

A vector of individualized treatments tailored for future patients.

See Also

PAL, SAS

Examples

# NOT RUN {
## load simulated STARD data
data(SSTARD.twostage)
## estimate individualized treatment regime using SAS
result <- SAS(Y~X1|A1|X2|A2, data=SSTARD.twostage)
## make the recommendation 
TR(result, x1=SSTARD.twostage$X1, a1=SSTARD.twostage$A1, x2=SSTARD.twostage$X2, stage=2)
# }