Epidemiological studies often deal with samples that may not be perfectly representative of the target population. This can result from various factors such as selection bias, non-response, and oversampling of certain subgroups. Data weighting helps to mitigate these issues, ensuring that the study results are more generalizable and reflective of the true population dynamics.
