A Bayesian evidence synthesis approach to estimate disease prevalence in hard-to-reach populations: hepatitis C in New York City-Reference-Cited by-同舟云学术

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A Bayesian evidence synthesis approach to estimate disease prevalence in hard-to-reach populations: hepatitis C in New York City

Published:2018-06 Issue: Volume:23 Page:96-109
ISSN:1755-4365
Container-title:Epidemics
language:en
Short-container-title:Epidemics

Author:

Tan Sarah,Makela Susanna,Heller Daliah,Konty Kevin,Balter Sharon,Zheng Tian,Stark James H.

Publisher

Elsevier BV

Subject

Virology,Infectious Diseases,Public Health, Environmental and Occupational Health,Microbiology,Parasitology,Epidemiology

Reference44 articles.

1. Markov chain Monte Carlo estimation of a multiparameter decision model: consistency of evidence and the accurate assessment of uncertainty;Ades;Med. Decis. Mak.,2002

2. Multiparameter evidence synthesis in epidemiology and medical decision-making: current approaches;Ades;J. R. Stat. Soc. A Stat. Soc.,2006

3. Infectious Diseases of Humans: Dynamics and Control;Anderson,1991

4. The prevalence of hepatitis C virus infection in the United States, 1999 through 2002;Armstrong;Ann. Intern. Med.,2006

5. Estimating the prevalence of hepatitis C infection in New York City using surveillance data;Balter;Epidemiol. Infect.,2014

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