Correcting for selection bias in HIV prevalence estimates: an application of sample selection models using data from population‐based HIV surveys in seven sub‐Saharan African countries

Author:

Palma Anton M.12ORCID,Marra Giampiero3,Bray Rachel1,Saito Suzue1,Awor Anna Colletar4,Jalloh Mohamed F.5,Kailembo Alexander6,Kirungi Wilford7,Mgomella George S.58,Njau Prosper5,Voetsch Andrew C.9,Ward Jennifer A.4,Bärnighausen Till10111213,Harling Guy10111214ORCID

Affiliation:

1. ICAP at Columbia University New York New York USA

2. Institute for Clinical and Translational Sciences University of California Irvine Irvine California USA

3. Department of Statistics University College London London UK

4. Division of Global HIV and Tuberculosis Center for Global Health CDC Kampala Uganda

5. Division of Global HIV and Tuberculosis Center for Global Health CDC Dar es Salaam Tanzania

6. National Institutes of Health National Institute of Dental and Craniofacial Research Bethesda Maryland USA

7. Uganda Ministry of Health Kampala Uganda

8. University of Cambridge Cambridge UK

9. U.S. Centers for Disease Control and Prevention Atlanta Georgia USA

10. Africa Health Research Institute KwaZulu‐Natal South Africa

11. MRC/Wits Rural Public Health & Health Transitions Research Unit (Agincourt) University of the Witwatersrand Johannesburg South Africa

12. Department of Epidemiology & Harvard Center for Population and Development Studies Harvard T.H. Chan School of Public Health Boston Massachusetts USA

13. Heidelberg Institute of Global Health University of Heidelberg Heidelberg Germany

14. Institute for Global Health University College London London UK

Funder

National Institute of Child Health and Human Development

Fogarty International Center

Wellcome Trust

National Institute on Aging

National Institute of Allergy and Infectious Diseases

National Center for Advancing Translational Sciences

Publisher

Wiley

Subject

Infectious Diseases,Public Health, Environmental and Occupational Health

Reference37 articles.

1. Handling missing data in survey research

2. MishraV HongR KhanS GuY LiuL. Evaluating HIV estimates from national population‐based surveys for bias resulting from non‐response.Calverton MD;2008.

3. HIV testing in national population-based surveys: experience from the Demographic and Health Surveys

4. Do gifts increase consent to home‐based HIV testing? A difference‐in‐differences study in rural Kwazulu‐Natal, South Africa;McGovern ME;Int J Epidemiol,2016

5. Acceptability of Routine HIV Testing ("Opt-Out") in Antenatal Services in Two Rural Districts of Zimbabwe

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