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...

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Detalles Bibliográficos
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:
Supplement
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

Internet

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

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