A study published in JAIDS (Journal of Acquired Immune Deficiency Syndromes) by a team of HAALSI (Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa) researchers examines whether older adults in rural South Africa have unmet needs for HIV prevention.
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 that they are HIV positive are less likely to participate in HIV surveys. Four researchers from Harvard Pop Center, including Mark McGovern, PhD, Till Bärnighausen, MD, Joshua Salomon, PhD, and David Canning,…