Block Randomization

Block randomization is a technique used in experimental design to ensure that each treatment group has an equal number of participants. In block randomization, participants are first divided into blocks based on certain characteristics, such as age or gender. Then, within each block, participants are randomly assigned to the different treatment groups. This helps to ensure that any differences between the treatment groups are not due to chance imbalances in the characteristics of the participants. Block randomization is commonly used in clinical trials and other types of experiments in the field of data science and artificial intelligence.
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