Late Development Statistics, Merck & Co., 126 E. Lincoln Avenue, PO box 2000, Rahway, NJ, 07065-0900, U.S.A.
Stat Med. 2014 Apr 30;33(9):1514-30. doi: 10.1002/sim.6051. Epub 2013 Dec 3.
In open-label studies, partial predictability of permuted block randomization provides potential for selection bias. To lessen the selection bias in two-arm studies with equal allocation, a number of allocation procedures that limit the imbalance in treatment totals at a pre-specified level but do not require the exact balance at the ends of the blocks were developed. In studies with unequal allocation, however, the task of designing a randomization procedure that sets a pre-specified limit on imbalance in group totals is not resolved. Existing allocation procedures either do not preserve the allocation ratio at every allocation or do not include all allocation sequences that comply with the pre-specified imbalance threshold. Kuznetsova and Tymofyeyev described the brick tunnel randomization for studies with unequal allocation that preserves the allocation ratio at every step and, in the two-arm case, includes all sequences that satisfy the smallest possible imbalance threshold. This article introduces wide brick tunnel randomization for studies with unequal allocation that allows all allocation sequences with imbalance not exceeding any pre-specified threshold while preserving the allocation ratio at every step. In open-label studies, allowing a larger imbalance in treatment totals lowers selection bias because of the predictability of treatment assignments. The applications of the technique in two-arm and multi-arm open-label studies with unequal allocation are described.
在开放性研究中,部分可预测的区组随机化提供了选择偏差的潜在可能性。为了减少两臂研究中均衡分配的选择偏差,开发了许多分配程序,这些程序限制了预先指定水平的治疗总数的不平衡,但不需要块末端的精确平衡。然而,在不均衡分配的研究中,设计一种随机化程序来设定组总数不平衡的预先指定限制的任务尚未解决。现有的分配程序要么不能在每次分配时保持分配比例,要么不包括所有符合预先指定不平衡阈值的分配序列。Kuznetsova 和 Tymofyeyev 描述了用于不均衡分配研究的砖隧道随机化,该方法在每一步都保持分配比例,并且在两臂情况下,包括所有满足最小不平衡阈值的序列。本文引入了用于不均衡分配研究的宽砖隧道随机化,该方法允许所有不平衡不超过任何预先指定阈值的分配序列,同时在每一步都保持分配比例。在开放性研究中,允许治疗总数更大的不平衡会降低选择偏差,因为治疗分配的可预测性。描述了该技术在两臂和多臂开放性研究中不均衡分配的应用。