CADBCD_Sim: Simulation Function of Covariate Adjusted Doubly Biased Coin...

In caradpt: Covariate-Adjusted Response-Adaptive Designs for Clinical Trials

Simulation Function of Covariate Adjusted Doubly Biased Coin Design for Binary and Continuous Response

Description

This function simulates a clinical trial using the Covariate Adjusted Doubly Biased Coin Design (CADBCD) with Binary or Continuous Responses.

Usage

CADBCD_Sim(n, thetaA, thetaB, m0 = 40, pts.cov, v = 2, response, target)

Arguments

n	a positive integer. The value specifies the total number of participants involved in each round of the simulation.
thetaA	a vector of length k+1. The true coefficient parameter value for treatment A.
thetaB	a vector of length k+1. The true coefficient parameter value for treatment B.
m0	a positive integer. The number of first 2m0 patients will be allocated equally for estimation. The default value is 40.
pts.cov	a n x k matrix. The simulated covariate matrix for patients.
v	a non-negative integer that controls the randomness of CADBCD design. The default value is 2.
response	the type of the response. Options are "Binary" or "Cont".
target	the type of optimal allocation target. Options are "Neyman" or "RSIHR".

Value

A list with the following elements:

method	The name of the procedure.
sampleSize	Total number of patients.
parameter	Estimated parameter values.
assignment	Treatment assignment vector.
proportion	Proportion of patients allocated to treatment A.
responses	Simulated response values.
failureRate	Proportion of treatment failures (if response = "Binary").
meanResponse	Mean response value (if response = "Cont").
rejectNull	Logical. Indicates whether the treatment effect is statistically significant based on a Wald test.

Examples

set.seed(123)
results = CADBCD_Sim(n = 400,
                      pts.cov = cbind(rnorm(400), rnorm(400)),
                      thetaA = c(-1, 1, 1),
                      thetaB = c(3, 1, 1),
                      response = "Binary",
                      target = "Neyman")
results

## view the settings
results$method
results$sampleSize

## view the simulation results
results$parameter
results$assignments
results$proportion
results$responses
results$failureRate

caradpt documentation built on Aug. 28, 2025, 9:09 a.m.