Maximum Likelihood Estimation of Long-Term HIV Dynamic Models and Antiviral Response

Biometrics

Volumn 67, Issue 1, 2011, Pages 250-259

  Lavielle, Marc ^a   Samson, Adeline ^b   Karina Fermin, Ana ^c   Mentré, France ^d  

^a INRIA   (France)

^b CNRS   (France)

^c UNIVERSITÉ PARIS OUEST NANTERRE LA DÉFENSE   (France)

^d INSERM   (France)

Author keywords

HIV dynamics; Model selection; Nonlinear mixed effects models; SAEM algorithm

Indexed keywords

APPROXIMATION ALGORITHMS; DYNAMIC MODELS; HOSPITAL DATA PROCESSING; MAXIMUM PRINCIPLE; STOCHASTIC SYSTEMS;

DYNAMICS MODELS; EXPECTATIONS MAXIMIZATION ALGORITHMS; HIV DYNAMICS; MAXIMUM-LIKELIHOOD ESTIMATION; MIXED EFFECTS MODELS; MODEL SELECTION; NONLINEAR MIXED EFFECT MODEL; NONLINEAR MIXED EFFECTS; STOCHASTIC APPROXIMATION EXPECTATION-MAXIMIZATION ALGORITHM; STOCHASTIC APPROXIMATIONS;

MAXIMUM LIKELIHOOD ESTIMATION;

ALGORITHM; DATABASE; HUMAN IMMUNODEFICIENCY VIRUS; MAXIMUM LIKELIHOOD ANALYSIS; NONLINEARITY;

EID: 79952585713     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2010.01422.x     Document Type: Article

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