Hallstrom A, Davis K
Department of Biostatistics, University of Washington, Seattle.
Control Clin Trials. 1988 Dec;9(4):375-82. doi: 10.1016/0197-2456(88)90050-5.
Blocking and stratification are used in preparing randomization assignments to ensure that there will be nearly equal numbers of patients in each treatment group and that the groups will be similar with respect to important covariates. Stratified blocked randomization will create near balance within strata, but imbalance for the total trial may still occur. The variance for the total trial imbalance D is derived and examples from clinical trials are given. Under reasonable assumptions, if the blocking factor is size B in each of K strata, then max D = KB/2 and var D = K(B + 1)/6. These results may be used in planning a trial to estimate the overall imbalance expected for various choices of B and K. A conditional variance is given that allows the probability of an observed imbalance at the completion of a trial to be evaluated. Overall imbalance is about as likely with stratified blocked randomization as with simple randomization unless the total sample size N is appreciably larger than K X B. So long as the blinding is maintained, the block sizes should be chosen to be as small as possible.
在准备随机分组时采用区组化和分层方法,以确保每个治疗组中的患者数量几乎相等,并且各治疗组在重要协变量方面相似。分层区组随机化将在各层内实现近似平衡,但整个试验仍可能出现不平衡。推导了整个试验不平衡度(D)的方差,并给出了临床试验的示例。在合理假设下,如果在(K)个分层中每个分层的区组大小为(B),那么(D)的最大值为(KB/2),方差为(K(B + 1)/6)。这些结果可用于试验设计,以估计对于(B)和(K)的各种选择预期的总体不平衡度。给出了一个条件方差,可用于评估试验结束时观察到的不平衡度的概率。除非总样本量(N)明显大于(K×B),否则分层区组随机化产生总体不平衡的可能性与简单随机化大致相同。只要保持盲法,区组大小应选择尽可能小。