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National HIV prevalence estimates for sub-Saharan Africa: controlling selection bias with Heckman-type selection models

Authors

  • Daniel R Hogan Center for Health Decision Science, Harvard School of Public Health, Boston, Massachusetts, USADepartment of Global Health and Population, Harvard School of Public Health, Boston, Massachusetts, USA PubMed articlesGoogle scholar articles
  • Joshua A Salomon Center for Health Decision Science, Harvard School of Public Health, Boston, Massachusetts, USADepartment of Global Health and Population, Harvard School of Public Health, Boston, Massachusetts, USA PubMed articlesGoogle scholar articles
  • David Canning Department of Global Health and Population, Harvard School of Public Health, Boston, Massachusetts, USA PubMed articlesGoogle scholar articles
  • James K Hammitt Center for Risk Analysis, Harvard University, Boston, Massachusetts, USAToulouse School of Economics (LERNA-INRA), Toulouse, France PubMed articlesGoogle scholar articles
  • Alan M Zaslavsky Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts, USA PubMed articlesGoogle scholar articles
  • Till Bärnighausen Department of Global Health and Population, Harvard School of Public Health, Boston, Massachusetts, USAAfrica Centre for Health and Population Studies, University of KwaZulu-Natal, Mtubatuba, South Africa PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Daniel R Hogan, Harvard School of Public Health, Department of Global Health and Population, 665 Huntington Ave, Building 1, Room 1104, Boston, MA 02115, USA; dhogan{at}hsph.harvard.edu
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Citation

Hogan DR, Salomon JA, Canning D, et al
National HIV prevalence estimates for sub-Saharan Africa: controlling selection bias with Heckman-type selection models
Sexually Transmitted Infections 2012;88:i17-i23.

Publication history

  • Accepted August 18, 2012
  • First published November 20, 2012.
Online issue publication 
July 30, 2016

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