How Does Biased Data Affect Epidemiological Studies?
Biased data can severely impact the validity of epidemiological findings. It can lead to overestimation or underestimation of disease risk, misidentification of risk factors, and misguided public health policies. For instance, if selection bias occurs in a study assessing the effectiveness of a vaccine, the results may not be generalizable to the broader population.
