Block Randomization Permuted:
Blocking is usually used to balance the number of samples assigned to each of the study groups. This feature helps researchers to equate the number of samples assigned to each of the study groups in cases where intermediate analyzes are required during the sampling process. Blocking is done in two ways:
In the first method, the size of all blocks is equal (for example, in a two-group experiment, 8 blocks consist of 4 participants in the intervention group and 4 participants in the control group).
In the second method, the size of all blocks is randomly selected (for example, blocks of 8, 6, 10, and 14 in which there are equal numbers of each group in each block).
One of the potential problems in the blockchain method is the disclosure of the last allocation in each block. This problem occurs when the study uses the block-blocking method with fixed blocks and also does not use blinding. For example, in blocks of 4, where two allocations to the intervention group and two allocations to the control group are considered, the last allocation will be predictable when the first three allocations are revealed during sampling. Of course, this problem will be solved by randomly selecting the size of the blocks. For example, Hollingworth et al. Used random blocks 2, 4, or 6 for blocking, while Wong et al. Used only 6 blocks in their study.