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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2015
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| Materias: | |
| 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 |