replacement, reduction, and refinement

How Do These Concepts Intersect in Epidemiological Research?

Replacement, reduction, and refinement are interconnected principles that collectively enhance the ethical and scientific quality of epidemiological research. For instance, a study might employ computer simulations (replacement) to model disease spread, use advanced statistical techniques (reduction) to minimize the number of required simulations, and refine the algorithms to ensure accurate and humane outcomes. By integrating these approaches, researchers can conduct studies that are both ethically sound and scientifically robust.

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