Subjectivity is a concern in epidemiology because it can lead to bias in study results, which in turn can affect public health decisions, policy-making, and clinical guidelines. For instance, the interpretation of data can be influenced by the researchers' expectations or the cultural context in which the study is conducted. This can result in misclassification of exposures or outcomes, leading to erroneous conclusions.
