Model selection and mixed-effects modeling of HIV infection dynamics

Bulletin of Mathematical Biology

Volumn 68, Issue 8, 2006, Pages 2005-2025

  Bortz, D M ^a   Nelson, P W ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

AIC; Akaike; HIV; Information criteria; Mixed effects modeling; Model selection; Parameter estimation

Indexed keywords

RNA DIRECTED DNA POLYMERASE INHIBITOR; VIRUS RNA;

ARTICLE; BIOLOGICAL MODEL; BLOOD; CD4 LYMPHOCYTE COUNT; COMPARATIVE STUDY; GENETICS; GROWTH, DEVELOPMENT AND AGING; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS 1; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; STATISTICAL MODEL; VIROLOGY;

CD4 LYMPHOCYTE COUNT; HIV INFECTIONS; HIV-1; HUMANS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; REVERSE TRANSCRIPTASE INHIBITORS; RNA, VIRAL;

HUMAN IMMUNODEFICIENCY VIRUS;

EID: 33750690698     PISSN: 00928240     EISSN: 15229602     Source Type: Journal    
DOI: 10.1007/s11538-006-9084-x     Document Type: Article

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