A Bayesian hierarchical model with novel prior specifications for estimating HIV testing rates

Author:

An Qian1,Kang Jian2,Song Ruiguang1,Hall H. Irene1

Affiliation:

1. Division of HIV/AIDS Prevention; Centers for Disease Control and Prevention; Atlanta GA 30329 U.S.A.

2. Department of Biostatistics; University of Michigan; Ann Arbor MI 48105 U.S.A.

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference42 articles.

1. Revised recommendations for HIV testing of adults, adolescents, and pregnant women in health-care settings;Bernard;Mortality and Morbidity Weekly Report,2006

2. Monitoring selected national HIV prevention and care objectives by using HIV surveillance data - United States and 6 US dependent areas 2010;Centers for Disease Control and Prevention;HIV Surveillance Supplemental Report,2012

3. Assessing the extent of the HIV epidemic in Sweden, using information on the extent to which people who develop AIDS are already known to be HIV infected;Blaxhult;International Journal of Epidemiology,1992

4. Age-specific back-projection of HIV diagnosis data;Becker;Statistics in Medicine,2003

5. Using time of first positive HIV test and other auxiliary data in back-projection of AIDS incidence;Marschner;Statistics in Medicine,1994

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1. Modeling methods for estimating HIV incidence: a mathematical review;Theoretical Biology and Medical Modelling;2020-01-22

2. Estimated HIV Incidence, Prevalence, and Undiagnosed Infections in US States and Washington, DC, 2010–2014;JAIDS Journal of Acquired Immune Deficiency Syndromes;2017-10-01

3. HIV Trends in the United States: Diagnoses and Estimated Incidence;JMIR Public Health and Surveillance;2017-02-03

4. Estimated HIV Incidence in the United States, 2003–2010;JAIDS Journal of Acquired Immune Deficiency Syndromes;2017-01-01

5. Using CD4 Data to Estimate HIV Incidence, Prevalence, and Percent of Undiagnosed Infections in the United States;JAIDS Journal of Acquired Immune Deficiency Syndromes;2017-01-01

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