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Experimental design in biostatistics refers to the framework and methodology used to plan and conduct experiments in a way that ensures valid and reliable results. It involves selecting appropriate experimental units, randomization, controlling for variables, and determining sample sizes to minimize bias and variability. This systematic approach helps researchers draw accurate conclusions about causal relationships and the effects of interventions in biological and health-related studies. Proper experimental design is crucial for the integrity and reproducibility of scientific research.

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