Non response bias is particularly concerning in epidemiological studies because the absence of data from non-respondents can skew results. For instance, if non-respondents have different health behaviors or outcomes than respondents, the study might underestimate or overestimate the true association between an exposure and an outcome. This can lead to incorrect conclusions and potentially harmful public health recommendations.
