bbcdRand function

Sampling algorithm for bbcd

bbcdRand(N, a, K = 2)

Arguments

• N: integer for the total sample size of the trial.
• a: nonnegative parameter which controls the degree of randomness: For decreasing a the allocations become deterministic, while for increasing a the randomization procedure tends to complete randomization.
• K: number of treatment groups (e.g. K=2 if we compare one experimental against one control treatment).

Returns

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