Cargando…
National HIV prevalence estimates for sub-Saharan Africa: controlling selection bias with Heckman-type selection models
OBJECTIVES: Population-based HIV testing surveys have become central to deriving estimates of national HIV prevalence in sub-Saharan Africa. However, limited participation in these surveys can lead to selection bias. We control for selection bias in national HIV prevalence estimates using a novel ap...
Autores principales: | Hogan, Daniel R, Salomon, Joshua A, Canning, David, Hammitt, James K, Zaslavsky, Alan M, Bärnighausen, Till |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3512441/ https://www.ncbi.nlm.nih.gov/pubmed/23172342 http://dx.doi.org/10.1136/sextrans-2012-050636 |
Ejemplares similares
-
Flexible epidemiological model for estimates and short-term projections in generalised HIV/AIDS epidemics
por: Hogan, Daniel R, et al.
Publicado: (2010) -
Using interviewer random effects to remove selection bias from HIV prevalence estimates
por: McGovern, Mark E, et al.
Publicado: (2015) -
Health Systems Integration of Sexual and Reproductive Health and HIV Services in Sub-Saharan Africa: A Scoping Study
por: Hope, Rebecca, et al.
Publicado: (2014) -
Towards Comprehensive Women's Healthcare in Sub-Saharan Africa: Addressing Intersections Between HIV, Reproductive and Maternal Health
por: Kendall, Tamil, et al.
Publicado: (2014) -
Estimating male circumcision coverage in 15 priority countries in sub‐Saharan Africa
por: Stegman, Peter M., et al.
Publicado: (2021)