bsdRand function

Sampling algorithm for BSD

Sampling algorithm for BSD

bsdRand(N, mti, K = 2)

Arguments

  • N: integer for the total sample size of the trial.
  • mti: maximum tolerated imbalance in patient numbers during the trial.
  • 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

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

  • Maintainer: Ralf-Dieter Hilgers
  • License: GPL (>= 3)
  • Last published: 2023-09-18

Useful links