Combining Epidemiologic and Biostatistical Tools to Enhance Variable Selection in HIV Cohort Analyses

Open Access

Peer-reviewed

Research Article

Christopher Rentsch,

Affiliation Atlanta Veterans Affairs Medical Center, Decatur, Georgia, United States of America
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Ionut Bebu,

Affiliation Infectious Disease Clinical Research Program, Uniformed Services University of the Health Sciences, Bethesda, Maryland, United States of America
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Jodie L. Guest,

Affiliations Atlanta Veterans Affairs Medical Center, Decatur, Georgia, United States of America, Emory University School of Medicine, Atlanta, Georgia, United States of America, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America
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David Rimland,

Affiliations Atlanta Veterans Affairs Medical Center, Decatur, Georgia, United States of America, Emory University School of Medicine, Atlanta, Georgia, United States of America
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Brian K. Agan,

Affiliation Infectious Disease Clinical Research Program, Uniformed Services University of the Health Sciences, Bethesda, Maryland, United States of America
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Vincent Marconi

* E-mail: vcmarco@emory.edu

Affiliations Atlanta Veterans Affairs Medical Center, Decatur, Georgia, United States of America, Emory University School of Medicine, Atlanta, Georgia, United States of America, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America
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HIV diagnosis and management
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Highly-active antiretroviral therapy
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HIV
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HIV epidemiology
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AIDS
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Cohort studies
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Epidemiological statistics
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Virus testing
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