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Complete Randomization with Maximum Deviation

In complete randomization, a list of groups is permuted and each subject is assigned to the next group in the list. This method ensures balance, but long runs of the same group may appear. To counter the long runs, you can add a new parameter: maximum deviation.

The closer the maximum deviation is to 0, the shorter any run is.

Note: As the maximum deviation gets smaller and the number of subjects gets larger, the time to perform this list generation increases

List Generation Parameters

Fields with an asterisk (*) must be filled in.

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Randomization List

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Subject Group
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  • M. Lachin, John, P. Matts, John & Wei, L.J. (1989), "Randomization in clinical trials: Conclusions and recommendations," Controlled clinical trials, 9, 365-74.
  • Suresh K. (2011), "An overview of randomization techniques: An unbiased assessment of outcome in clinical research," Journal of Human Reproductive Sciences, 4(1), 8-11.
  • Vickers AJ. (2006), "How to randomize," Journal of the Society for Integrative Oncology, 4(4), 194-198.