Published on November 30, 2015 by

A multistage approach to adjusting for non-response when estimating HIV prevalence using survey data

In populations where most subjects know their HIV status, population-based prevalence HIV estimates can be heavily biased due to high rates of non-response to HIV testing. Inverse probability weighting could potentially be used to correct for non-response to HIV testing in order to derive sub-national level HIV statistics, especially where the data at these levels are sparse. Its usefulness can be enhanced by incorporating antenatal clinics’ HIV data, often the only source of HIV prevalence.