Sampling algorithm for abcd
abcdRand(N, a, K = 2)integer for the total sample size of the trial.
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.
number of treatment groups (e.g. K=2 if we compare one experimental against one control treatment).
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).
A. B. Antognini and A. Giovagnoli (2004) A new 'biased coin design' for the sequential allocation of two treatments. Journal of the Royal Statistical Society. Series C (Applied Statistics) 53, No. 4, 651-664