Role of survey response rates on valid inference: an application to HIV prevalence estimates.

Published in: Emerging themes in epidemiology (2018)

It is quite reasonable to conclude that there is so much DHS nonresponse in evaluating the HIV status question, that existing data is plausibly generated by the situation where the virus is equally distributed between the sexes.

Keyphrases

antiretroviral therapy
hiv positive
hiv infected
hiv testing
human immunodeficiency virus
hepatitis c virus
hiv aids
men who have sex with men
risk factors
electronic health record
cross sectional
machine learning
neural network
deep learning
artificial intelligence