Description Usage Arguments Value References See Also Examples

Function to carry out merged block randomization, for multiple strata.

1 2 | ```
mergedblocksmulti(K, n, ratio = c(1, 1),
labels = as.character(1:length(ratio)))
``` |

`K` |
The number of strata. |

`n` |
The number of subjects to randomize. May be given as a single number, for the same number
of subjects per stratum, or as a vector or length |

`ratio` |
The desired randomization ratio, given as a vector. Default is 1:1 randomization, but more groups or unequal ratios are possible as well. E.g. for 1:1:2 randomization, use c(1, 1, 2). |

`labels` |
The labels for the assignments, given as a vector, e.g. c("treatment", "placebo"). The
length of |

Allocation of the subjects, given as a dataframe, with one column per stratum. Padded with NAs in case of different sample sizes per stratum.

S.L. van der Pas (2019). Merged block randomisation: a novel randomisation procedure for small clinical trials. Clinical Trials. Pages tba.

`mergedblocks`

for a version for a single stratum.

1 2 3 4 5 6 7 | ```
#Four strata, randomize 20 patients for each stratum, 1:1 allocation,
#with labels "0" and "1".
mergedblocksmulti(K = 4, n = 20)
#Three strata, randomize 30, 40 and 50 patients for each stratum,
#1:2 allocation, with labels "placebo" and "treatment".
mergedblocksmulti(K = 3, n = c(30, 40, 50), ratio = c(1, 2), labels = c("placebo", "treatment"))
``` |

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