In the context of epidemiology, noise refers to random errors or variability in data that can obscure or distort the true relationship between exposures and outcomes. Noise can arise from a variety of sources, including measurement errors, sampling variability, and uncontrolled confounding factors. The presence of noise complicates the detection of genuine associations between potential risk factors and health outcomes.
