Mixed-effects joint models with skew-normal distribution for HIV dynamic response with missing and mismeasured time-varying covariate

International Journal of Biostatistics

Volumn 8, Issue 1, 2014, Pages

  Huang, Yangxin ^a   Chen, Jiaqing ^b   Yan, Chunning ^c  

^a UNIVERSITY OF SOUTH FLORIDA   (United States)

^b WUHAN UNIVERSITY OF TECHNOLOGY   (China)

^c SHANGHAI UNIVERSITY   (China)

Author keywords

Bayesian analysis; HIV dynamics; measurement error; missing covariate; mixed effects joint models; skew normal distribution

Indexed keywords

ARTICLE; BAYES THEOREM; CD4 LYMPHOCYTE COUNT; COMPARTMENT MODEL; DYNAMICS; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; LONGITUDINAL STUDY; MEASUREMENT ERROR; NORMAL DISTRIBUTION; PREDICTIVE VALUE; SKEW NORMAL DISTRIBUTION; VIRUS LOAD; ACQUIRED IMMUNE DEFICIENCY SYNDROME; DIMENSIONAL MEASUREMENT ACCURACY; DRUG EFFECT; NONLINEAR SYSTEM; STATISTICAL MODEL; TIME; VIROLOGY;

ANTIRETROVIRUS AGENT;

ACQUIRED IMMUNODEFICIENCY SYNDROME; ANTI-RETROVIRAL AGENTS; BAYES THEOREM; CD4 LYMPHOCYTE COUNT; DIMENSIONAL MEASUREMENT ACCURACY; HIV INFECTIONS; HUMANS; LONGITUDINAL STUDIES; MODELS, STATISTICAL; NONLINEAR DYNAMICS; TIME FACTORS; VIRAL LOAD;

EID: 84907611739     PISSN: None     EISSN: 15574679     Source Type: Journal    
DOI: 10.1515/1557-4679.1426     Document Type: Article

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