Statistical considerations for cross-sectional HIV incidence estimation based on recency test.

ABSTRACT: Longitudinal cohorts to determine the incidence of HIV infection are logistically challenging, so researchers have sought alternative strategies. Recency test methods use biomarker profiles of HIV-infected subjects in a cross-sectional sample to infer whether they are "recently" infected and to estimate incidence in the population. Two main estimators have been used in practice: one that assumes a recency test is perfectly specific, and another that allows for false-recent results. To date, these commonly used estimators have not been rigorously studied with respect to their assumptions and statistical properties. In this article, we present a theoretical framework with which to understand these estimators and interrogate their assumptions, and perform a simulation study and data analysis

SUBMITTER: Gao F 

PROVIDER: S-EPMC8918003 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature