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Dataset Information

Augmented cross-sectional studies with abbreviated follow-up for estimating HIV incidence.


ABSTRACT: Cross-sectional HIV incidence estimation based on a sensitive and less-sensitive test offers great advantages over the traditional cohort study. However, its use has been limited due to concerns about the false negative rate of the less-sensitive test, reflecting the phenomenon that some subjects may remain negative permanently on the less-sensitive test. Wang and Lagakos (2010, Biometrics 66, 864-874) propose an augmented cross-sectional design that provides one way to estimate the size of the infected population who remain negative permanently and subsequently incorporate this information in the cross-sectional incidence estimator. In an augmented cross-sectional study, subjects who test negative on the less-sensitive test in the cross-sectional survey are followed forward for transition

SUBMITTER: Claggett B 

PROVIDER: S-EPMC3182305 | biostudies-literature | 2012 Mar

REPOSITORIES: biostudies-literature