A Bayesian approach to estimate changes in condom use from limited human immunodeficiency virus prevalence data

Title: A Bayesian approach to estimate changes in condom use from limited human immunodeficiency virus prevalence data
Author(s): Dureau, J
Kalogeropoulos, K
Vickerman, P
Pickles, M
Boily, M-C
Item Type: Journal Article
Publication Date: 1-Feb-2016
Date of Acceptance: 1-May-2015
URI: http://hdl.handle.net/10044/1/30538
DOI: https://dx.doi.org/10.1111/rssc.12116
ISSN: 0035-9254
Publisher: Wiley
Start Page: 237
End Page: 257
Journal / Book Title: Journal of the Royal Statistical Society Series C - Applied Statistics
Volume: 65
Issue: 2
Copyright Statement: © 2015 The Authors Journal of the Royal Statistical Society: Series C Applied Statistics Published by John Wiley & Sons Ltd on behalf of the Royal Statistical Society. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. The copyright line for this article was changed on 6th January after original online publication.
Keywords: Science & Technology
Physical Sciences
Statistics & Probability
Mathematics
Bayesian inference
Condom use
Epidemic modelling
Human immunodeficiency virus infections
Particle Markov chain Monte Carlo methods
Time varying parameter
FEMALE SEX WORKERS
HIV-PREVENTION PROGRAM
MODELING ANALYSIS
SOUTHERN INDIA
HIV/AIDS EPIDEMIC
GROWTH CURVE
IMPACT
INTERVENTIONS
TRANSMISSION
CLIENTS
Bayesian inference
Condom use
Epidemic modelling
Human immunodeficiency virus infections
Particle Markov chain Monte Carlo methods
Time varying parameter
Science & Technology
Physical Sciences
Statistics & Probability
Mathematics
Bayesian inference
Condom use
Epidemic modelling
Human immunodeficiency virus infections
Particle Markov chain Monte Carlo methods
Time varying parameter
FEMALE SEX WORKERS
HIV-PREVENTION PROGRAM
MODELING ANALYSIS
SOUTHERN INDIA
HIV/AIDS EPIDEMIC
GROWTH CURVE
IMPACT
INTERVENTIONS
TRANSMISSION
CLIENTS
Statistics & Probability
0104 Statistics
Publication Status: Published
Appears in Collections:Faculty of Medicine
Epidemiology, Public Health and Primary Care



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