Nonresponse bias occurs when individuals selected for a survey or study do not respond, and their nonresponses are systematically different from those who do respond. In the context of Epidemiology, this can significantly affect the validity and reliability of research findings, as it may result in skewed estimates of disease prevalence, risk factors, and other key metrics.
