Hierarchical Bayesian methods for estimation of parameters in a longitudinal HIV dynamic system

Biometrics

Volumn 62, Issue 2, 2006, Pages 413-423

  Huang, Yangxin ^a,b   Liu, Dacheng ^a   Wu, Hulin ^a  

^a UNIVERSITY OF ROCHESTER   (United States)

^b UNIVERSITY OF SOUTH FLORIDA   (United States)

Author keywords

Antiretroviral drug therapy; Bayesian mixed effects models; Drug exposures; Drug resistance; HIV dynamics; MCMC; Parameter estimation

Indexed keywords

BAYESIAN NETWORKS; DIFFERENTIAL EQUATIONS; DISEASES; DRUG THERAPY; DYNAMICS; NONLINEAR EQUATIONS; VIRUSES;

ANTIRETROVIRAL DRUG THERAPY; ANTIRETROVIRAL DRUGS; BAYESIAN; BAYESIAN MIXED-EFFECT MODEL; DRUG EXPOSURE; DRUG-RESISTANCE; HIV DYNAMICS; MCMC; MIXED EFFECTS MODELS; PARAMETERS ESTIMATION;

PARAMETER ESTIMATION;

ANTIRETROVIRUS AGENT;

ACQUIRED IMMUNE DEFICIENCY SYNDROME; DISEASE TREATMENT; HUMAN IMMUNODEFICIENCY VIRUS; VIRUS;

ARTICLE; BAYES THEOREM; DRUG EFFICACY; DRUG EXPOSURE; DYNAMICS; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; LONGITUDINAL STUDY; NONLINEAR SYSTEM; SIMULATION; STATISTICAL ANALYSIS; STATISTICAL MODEL; VIRUS INHIBITION;

EID: 33745245700     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2005.00447.x     Document Type: Article

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