Description Usage Arguments Value References See Also Examples
View source: R/mergedblocksmulti.R
Function to carry out merged block randomization, for multiple strata.
1 2 3 4 5 6 | 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 16(3):246-252.
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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