Estimation of HIV incidence using multiple biomarkers

American Journal of Epidemiology

Volumn 177, Issue 3, 2013, Pages 264-272

  Brookmeyer, Ron ^a   Konikoff, Jacob ^b   Laeyendecker, Oliver ^c   Eshleman, Susan H ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES   (United States)

^c JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

acquired immunodeficiency syndrome; algorithms; cross sectional studies; HIV; incidence; models, statistical

Indexed keywords

BIOLOGICAL MARKER;

ACCURACY ASSESSMENT; ACQUIRED IMMUNE DEFICIENCY SYNDROME; ALGORITHM; BIOMARKER; COHORT ANALYSIS; COST-BENEFIT ANALYSIS; DISEASE INCIDENCE; EPIDEMIOLOGY; HUMAN IMMUNODEFICIENCY VIRUS; INFECTIVITY;

ACCURACY; ALGORITHM; ARTICLE; CD4 LYMPHOCYTE COUNT; CLADISTICS; COST EFFECTIVENESS ANALYSIS; CROSS-SECTIONAL STUDY; ENZYME IMMUNOASSAY; FOLLOW UP; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; INCIDENCE; LONGITUDINAL STUDY; VIRUS LOAD;

ALGORITHMS; BIOLOGICAL MARKERS; CD4 LYMPHOCYTE COUNT; CROSS-SECTIONAL STUDIES; HIV INFECTIONS; HUMANS; IMMUNOENZYME TECHNIQUES; INCIDENCE; MODELS, STATISTICAL; UNITED STATES; VIRAL LOAD;

UNITED STATES;

HUMAN IMMUNODEFICIENCY VIRUS;

EID: 84874486319     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kws436     Document Type: Article

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