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随机试验中分配序列的产生:靠的是机遇,而非选择。

Generation of allocation sequences in randomised trials: chance, not choice.

作者信息

Schulz Kenneth F, Grimes David A

机构信息

Family Health International, PO Box 13950, Research Triangle Park, NC 27709, USA.

出版信息

Lancet. 2002 Feb 9;359(9305):515-9. doi: 10.1016/S0140-6736(02)07683-3.

Abstract

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.

摘要

随机对照试验设定了临床研究的金标准。然而,随机化可能仍然是试验中最不为人所理解的方面。此外,任何缺乏适当随机化的做法都会引发选择偏倚和混杂偏倚。研究人员应摒弃所有系统的、非随机的分配方法。试验参与者应基于随机过程被分配到各比较组。简单(无限制)随机化类似于反复抛公平硬币,是最基本的序列生成方法。此外,无论其他方法多么复杂精密,在预防偏倚方面都无法超越简单随机化。因此,研究人员应比目前更频繁地使用这种方法,读者也应预期并接受组间样本量的差异。其他几种复杂的受限随机化程序可降低干预组出现不良样本量失衡的可能性。最常用的受限序列生成程序是区组随机化。如果使用这种方法,研究人员应随机改变区组大小,并使用更大的区组大小,尤其是在非盲法试验中。其他受限程序,如意罐随机化,通过保留大部分不可预测性同时实现某种平衡,结合了简单随机化和受限随机化的有益特性。分层随机化的有效性取决于使用受限随机化方法来平衡各层的分配序列。生成适当的随机化序列所需时间和精力不多,但在科学准确性和可信度方面却能带来巨大回报。研究人员应投入适当资源来生成恰当随机化的试验,并清晰报告其方法。

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