Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

gbcdRand

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

Randomization for Clinical Trials

v2.0.0
GPL (>= 3)
Authors
David Schindler [aut], Diane Uschner [aut, cre], Marcia Viviane Rueckbeil [ctb], Martin Manolov [ctb], Thi Mui Pham [ctb], Michael Martini [ctb], Ralf-Dieter Hilgers [aut, ths], Nicole Heussen [aut, ths]
Initial release
2019-11-15

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.