Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

bsdPar

Representing Big Stick Design


Description

Represents the randomization procedure Big Stick Design.

Usage

bsdPar(N, mti, 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.

groups

character vector of labels for the different treatments.

Details

Tossing a fair coin 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.

Value

S4 object of the class bsdPar.

References

J. F. Soares and C. F. Jeff Wu (1983) Some Restricted Randomization Rules in Sequential Designs. Comm. in Stat., 12, 2017-34.

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

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.