SimDesign1: Simulate a SMART with Design 1

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

Description

This function simulates a SMART with Design 1.

Usage

SimDesign1(
  sample_size = 250,
  response_prob = c(0.5, 0.5, 0.5, 0.8, 0.7, 0.5),
  stage_one_trt_one_response_prob = 0.7,
  stage_one_trt_two_response_prob = 0.4
)

Arguments

sample_size	the total sample size
response_prob	a vector of probabilities of response for each of the 6 embedded treatment sequences.
stage_one_trt_one_response_prob	the probability of response to first stage-1 treatment.
stage_one_trt_two_response_prob	the probability of response to second stage-1 treatment.

Value

a data frame with treatment response indicators for each stage of treatment, a1 and a2, end of stage-1 response indicator s, and final outcome y.

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)

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