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bbcdPar

Representing Bayesian Biased Coin Design

Description

Represents the randomization procedure Bayesian Biased Coin Design.

Usage

bbcdPar(N, a, groups = LETTERS[1:2])

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.
groups

character vector of labels for the different treatments.

Details

Extension of Efron's biased coin design.

Value

S4 object of the class bbcdPar.

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

See Also

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

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