In randomized trials, a parallel design is one in which subjects are randomly assigned to treatments, which then proceed in parallel with each group. Conducted properly, they provide assurance that any difference between treatments is in fact due to treatment effects (or random chance), rather than some systematic differences between the groups of subjects. Contrast with crossover design.
Statistics and data science, defined
Parallel Design
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