Estimating biomarker-based HIV incidence using prevalence data in high risk groups with missing outcomes.

Estimating biomarker-based HIV incidence using prevalence data in high risk groups with missing outcomes. Research Abstract Details 

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Estimating biomarker-based HIV incidence using prevalence data in high risk groups with missing outcomes. Abstract Text:

Haitao Chu,Stephen R Cole,

The novel two-step serologic sensitive/less sensitive testing algorithm for detecting recent HIV seroconversion (STARHS) provides a simple and practical method to estimate HIV-1 incidence using cross-sectional HIV seroprevalence data. STARHS has been used increasingly in epidemiologic studies. However, the uncertainty of incidence estimates using this algorithm has not been well described, especially for high risk groups or when missing data is present because a fraction of sensitive enzyme immunoassay (EIA) positive specimens are not tested by the less sensitive EIA. Ad hoc methods used in practice provide incorrect confidence limits and thus may jeopardize statistical inference. In this report, we propose maximum likelihood and Bayesian methods for correctly estimating the uncertainty in incidence estimates obtained using prevalence data with a fraction missing, and extend the methods to regression settings. Using a study of injection drug users participating in a drug detoxification program in New York city as an example, we demonstrated the impact of underestimating the uncertainty in incidence estimates using ad hoc methods. Our methods can be applied to estimate the incidence of other diseases from prevalence data using similar testing algorithms when missing data is present.

Estimating biomarker-based HIV incidence using prevalence data in high risk groups with missing outcomes. Publishing Authors By Initials

H Chu,SR Cole,

For similar disorders of environmental origin: substance-related disorders: substance abuse, intravenous research abstracts see: disorders of environmental origin: substance-related disorders: substance abuse, intravenous research

PUBMED ID PMID:

MEDLINE DATE:

Estimating biomarker-based HIV incidence using prevalence data in high risk groups with missing outcomes. Journal Published:

PUBLICATION TYPE: Research Support, N.I.H., Extr

Journal: Biometrical journal. Biometrische Zeitschrift

VOLUME: 48

Page Numbers: 772-9

Journal Abbreviation:

ISSN: 0323-3847

DAY: 3

MONTH: Aug

YEAR: 2006

Estimating biomarker-based HIV incidence using prevalence data in high risk groups with missing outcomes. Information

Number of References:

LANGUAGE: eng

NlmUniqueID: 7708048

Estimating biomarker-based HIV incidence using prevalence data in high risk groups with missing outcomes. Keywords Mesh Terms:

KEYWORDS: Substance Abuse, Intravenous

MESH TERMS: virology

Chemical & Substance for Abstract: Estimating biomarker-based HIV incidence using prevalence data in high risk groups with missing outcomes. Information

Substance Name: HIV Antibodies

Registry Number: 0

Grant and Affiliation Information for Estimating biomarker-based HIV incidence using prevalence data in high risk groups with missing outcomes.

AFFILIATION: Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA. hchu@jhsph.edu

Country: Germany

AGENCY: United States NIAID

GRANT: U01-AI-42590

ACRONYM: AI

MEDLINETA: Biom J

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