How can you statistically correct for missing data and selection bias in HIV prevalence estimates?
Missing data is a common problem in HIV research due to non-participation in testing, and selection bias can occur if non-participation in testing is associated with HIV status. For example, longitudinal data suggests that individuals who know or suspect…