Last data update: 2014.03.03

 R: Sampling algorithm for bbcd
bbcdRandR Documentation

Sampling algorithm for bbcd

Description

Sampling algorithm for bbcd

Usage

bbcdRand(N, a, K = 2)

Arguments

N

integer for the total sample size of the trial.

a

nonnegative parameter which my be adjusted according to how strongly it is desired to balance the experiment. a = 0 gives the complete randomization, while the assignments become more deterministic as a increases.

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

A. B. Antognini and Maroussa Zagoraiou (2014) Balance and randomness in sequential clinical trials: the dominant biased coin design. Pharmaceutical Statistics 13(2), 119-127

Results


Created & Maintained by Osamu Ogasawara (osamu.ogasawara@gmail.com) and IMSBIO