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, 359 (9305), 515-9

Generation of Allocation Sequences in Randomised Trials: Chance, Not Choice


Generation of Allocation Sequences in Randomised Trials: Chance, Not Choice

Kenneth F Schulz et al. Lancet.


The randomised controlled trial sets the gold standard of clinical research. However, randomisation persists as perhaps the least-understood aspect of a trial. Moreover, anything short of proper randomisation courts selection and confounding biases. Researchers should spurn all systematic, non-random methods of allocation. Trial participants should be assigned to comparison groups based on a random process. Simple (unrestricted) randomisation, analogous to repeated fair coin-tossing, is the most basic of sequence generation approaches. Furthermore, no other approach, irrespective of its complexity and sophistication, surpasses simple randomisation for prevention of bias. Investigators should, therefore, use this method more often than they do, and readers should expect and accept disparities in group sizes. Several other complicated restricted randomisation procedures limit the likelihood of undesirable sample size imbalances in the intervention groups. The most frequently used restricted sequence generation procedure is blocked randomisation. If this method is used, investigators should randomly vary the block sizes and use larger block sizes, particularly in an unblinded trial. Other restricted procedures, such as urn randomisation, combine beneficial attributes of simple and restricted randomisation by preserving most of the unpredictability while achieving some balance. The effectiveness of stratified randomisation depends on use of a restricted randomisation approach to balance the allocation sequences for each stratum. Generation of a proper randomisation sequence takes little time and effort but affords big rewards in scientific accuracy and credibility. Investigators should devote appropriate resources to the generation of properly randomised trials and reporting their methods clearly.

Republished in

  • Z Arztl Fortbild Qualitatssich. 2007;101(6):419-26

Comment in

  • Epidemiology research.
    Nicholl J, Campbell M. Nicholl J, et al. Lancet. 2002 Jul 20;360(9328):258-9; author reply 260. doi: 10.1016/S0140-6736(02)09476-X. Lancet. 2002. PMID: 12133686 No abstract available.

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