Using panel data for partial identification of human immunodeficiency virus prevalence when infection status is missing not at random
Author:
Affiliation:
1. Universitat Pompeu Fabra; Barcelona Spain
2. University of Groningen; The Netherlands
3. University of Rome ‘Tor Vergata’ and Einaudi Institute for Economics and Finance; Rome Italy
Publisher
Wiley
Subject
Statistics, Probability and Uncertainty,Economics and Econometrics,Social Sciences (miscellaneous),Statistics and Probability
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1111/rssa.12027/fullpdf
Reference40 articles.
1. Migration, marital change, and HIV infection in Malawi;Anglewicz;Demography,2012
2. The Malawi and diffusion ideational change project 2004-2006: data collection, data quality, and analysis of attrition;Anglewicz;Demogr. Res.,2009
3. Validation of case-finding algorithms derived from administrative data for identifying adults living with Human Immunodeficiency Virus infection;Antoniou;PLOS ONE,2011
4. Correcting HIV prevalence estimates for survey non-participation: an application of Heckman-type selection models to the Zambian Demographic and Health Survey;Bärnighausen;Epidemiology,2011
5. Estimates of HIV-1 prevalence from national population-based surveys as a new gold standard;Boerma;Lancet,2003
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