Non response bias occurs when individuals selected to participate in a study do not respond, leading to a systematic difference between respondents and non-respondents. This can compromise the validity and generalizability of the study's findings. In epidemiology, non response bias can significantly affect the assessment of disease prevalence, risk factors, and outcomes.