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Driven by the randomization algorithm design of A Study of the Efficacy and Safety of Activase (Alteplase) in Patients with Mild Stroke (PRISMS) (NCT02072226), this paper compares operational and statistical properties of different randomization algorithms in local, central, and step-forward randomization settings.
This hampers reliable distribution analysis as the p-values delivered by the randomization algorithm become inaccurate.
Thus, in spite of the fact that we start with random codes (within the restrictions of the block structure of the code table imposed by the randomization algorithm), the simple minimization procedure we employ, in most cases, leads to codes that have a greater fitness than the standard code.
Rarefaction analysis was performed by the randomization algorithm incorporated in Ecosim version 7.0 [ 47] with 1000 iterations, and an accumulative curve was generated to show the relationship between ITS-VT richness and sampling intensity, and between ITS-VT richness and sampled plant species.
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In order to facilitate the interim analysis of the data by the review committee, the randomization algorithm was weighted so that 8 of the first 10 patients receive either the lowest or the highest drug dosage.
The randomization algorithm was based on computer-generated random numbers.
This is necessary to protect the integrity of the randomization algorithm.
The randomization algorithm accounted for both within-PCP practice randomization and rolling enrollment.
The randomization algorithm used a minimization procedure accounting for center.
The randomization algorithm used a minimization procedure to balance the number of subjects among treatment by age category (12 23 months, 2 4 years, 5 20 years, and 21 50 years).
The randomization algorithm used a minimization procedure accounting for center and age strata.
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