Using interviewer random effects to remove selection bias from HIV prevalence estimates

BACKGROUND: Selection bias in HIV prevalence estimates occurs if non-participation in testing is correlated with HIV status. Longitudinal data suggests that individuals who know or suspect they are HIV positive are less likely to participate in testing in HIV surveys, in which case methods to correc...

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Detalles Bibliográficos
Autores principales: McGovern, Mark E, Bärnighausen, Till, Salomon, Joshua A, Canning, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4429465/
https://www.ncbi.nlm.nih.gov/pubmed/25656226
http://dx.doi.org/10.1186/1471-2288-15-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4429465/
https://www.ncbi.nlm.nih.gov/pubmed/25656226
http://dx.doi.org/10.1186/1471-2288-15-8

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