gbcdRand: Sampling algorithm for gbcd

In randomizeR: Randomization for Clinical Trials

Sampling algorithm for gbcd

Description

Sampling algorithm for gbcd

Usage

gbcdRand(N, rho, K = 2)

Arguments

N	integer for the total sample size of the trial.
rho	nonnegative parameter which my be adjusted according to how strongly it is desired to balance the experiment. If rho = 1, we have Wei's urn design with alpha = 0. If rho = 0, we have complete randomization.
K	number of treatment groups (e.g. K=2 if we compare one experimental against one control treatment).

Value

A vector with the allocation sequence for a clinical trial. It will contain a zero (resp. 1) at position i, when patient i is allocated to treatment A (resp. B).

References

R. L. Smith (1984) Sequential treatment allocation using biased coin designs. Journal of the Royal Statistical Society B, 46, 519-543.
W. F. Rosenberger and J. M. Lachin (2002) Randomization in Clinical Trials. Wiley, 64-65

randomizeR documentation built on Sept. 19, 2023, 1:08 a.m.