PosteriorTrtSeqProb: Treatment Sequence Response Probabilities from Dataset

In SMARTbayesR: Bayesian Set of Best Dynamic Treatment Regimes and Sample Size in SMARTs for Binary Outcomes

Description

Draws from the posterior of the treatment sequence response probabilities.

Usage

PosteriorTrtSeqProb(niter, dat, design = "design-1")

Arguments

niter	the number of posterior draws.
dat	a data frame (see Details).
design	an indicator of which SMART design, design-1, general, or design-3.

Details

dat should contain the following columns:

y, the end of study binary response indicator

a1, the stage-1 treatment assignment indicator

s, the end of stage-1 binary response indicator

Additionally, for design-1 and design-3 it should contain a2, the stage-2 treatment assignment indicator

For the general design, it should contain

a2r, stage-2 treatment assignment for responders to stage-1 treatment.

a2nr, stage-2 treatment assignment for non-responders to stage-1 treatment.

Value

Posterior draws of the probability of response at the end of the study for each embedded treatment sequence and the posterior draws of the probability of response at the end of stage-1 for each stage-1 treatment.

Examples

dat <- SimDesign1(sample_size=250,
                              response_prob = c(0.5,0.9,0.3,0.7,0.5,0.8),
                              stage_one_trt_one_response_prob = 0.7,
                              stage_one_trt_two_response_prob = 0.4)

PosteriorTrtSeqProb(niter = 1000, dat, design = "design-1")

SMARTbayesR documentation built on Oct. 1, 2021, 1:06 a.m.