Linear and nonlinear mixed-effects models for censored HIV viral loads using normal/independent distributions

Biometrics

Volumn 67, Issue 4, 2011, Pages 1594-1604

  Lachos, Victor H ^a   Bandyopadhyay, Dipankar ^b   Dey, Dipak K ^c  

^a UNIVERSITY OF CAMPINAS   (Brazil)

^b MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

^c UNIVERSITY OF CONNECTICUT   (United States)

Author keywords

Censored data; Gibbs sampler; HIV viral load; Influential observations; Linear mixed models; MCMC; Normal independent distributions

Indexed keywords

BIOMETRICS;

CENSORED DATA; GIBBS SAMPLERS; HIV VIRAL LOADS; INFLUENTIAL OBSERVATIONS; LINEAR MIXED MODELS; MCMC; MIXED EFFECTS MODELS; NONLINEAR MIXED EFFECTS; NORMAL/INDEPENDENT DISTRIBUTION; VIRAL LOAD;

NORMAL DISTRIBUTION;

ACQUIRED IMMUNE DEFICIENCY SYNDROME; BAYESIAN ANALYSIS; BIOASSAY; DATA SET; DIVERGENCE; GAUSSIAN METHOD; GENETIC ANALYSIS; HUMAN IMMUNODEFICIENCY VIRUS; LINEARITY; NONLINEARITY; NUMERICAL MODEL;

EID: 83655180965     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2011.01586.x     Document Type: Article

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