Represents the randomization procedure Chen's Design.
chenPar(N, mti = N, p =0.5, groups = LETTERS[1:2])
Arguments
N: integer for the total sample size of the trial.
mti: maximum tolerated imbalance in patient numbers during the trial.
p: success probability of the biased coin (e.g. in Efron's Biased Coin Design).
groups: character vector of labels for the different treatments.
Returns
S4 object of the class chenPar.
Details
Flip a biased coin with probability p in favor of the treatment which is allocated less frequently as long as the difference in group sizes does not exceed the mti. If the mti is reached a deterministic allocation is done, so that the difference in group sizes is reduced. If both treatments have been assigned equally often a fair coin is tossed.
References
Chen Yung-Pin (1999) Biased coin design with imbalance tolerance. Comm. in Stat., 15 , 953-975.