Represents the randomization procedure Generalized Biased Coin Design.
Usage
gbcdPar(N, rho, groups = LETTERS[1:2])
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.
groups
character vector of labels for the different treatments.
Details
Generalization of Wei's urn and Efron's biased coin design.
Value
S4 object of the class gbcdPar.
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