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This report investigates the impact of potential misclassification of samples on HIV prevalence estimates for 23 surveys conducted from 2010-2014. In addition to visual inspection of laboratory results, we examined how accounting for potential misclassification of HIV status through Bayesian latent
...
FAST FACTS FROM THE 2016 NEPAL DHS
Planification Familiale au Sénégal feselon l’Enquête Continue 2016
FAST FACTS FROM THE 2015-16 TANZANIA DHS-MIS
FAST FACTS FROM THE 2014 CAMBODIA DEMOGRAPHIC AND HEALTH SURVEY
FAST FACTS FROM THE 2015-16 MALAWI MDHS
