Joint inference for nonlinear mixed-effects models and time to event at the presence of missing data

Biostatistics

Volumn 9, Issue 2, 2008, Pages 308-320

  Wu, Lang ^a   Hu, X Joan ^b   Wu, Hulin ^c  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b SIMON FRASER UNIVERSITY   (Canada)

^c UNIVERSITY OF ROCHESTER   (United States)

Author keywords

EM algorithm; Longitudinal data; Proportional hazards model; Shared parameter model

Indexed keywords

ANTI HUMAN IMMUNODEFICIENCY VIRUS AGENT;

ACQUIRED IMMUNE DEFICIENCY SYNDROME; ARTICLE; BIOMETRY; DISEASE COURSE; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS; LONGITUDINAL STUDY; METHODOLOGY; NONLINEAR SYSTEM; PATHOGENICITY; PREDICTION AND FORECASTING; PROPORTIONAL HAZARDS MODEL; REFERENCE VALUE; STATISTICAL MODEL; STATISTICS; TIME; TREATMENT OUTCOME; VIRUS LOAD;

ACQUIRED IMMUNODEFICIENCY SYNDROME; ANTI-HIV AGENTS; BIOMETRY; DISEASE PROGRESSION; HIV; HUMANS; LIKELIHOOD FUNCTIONS; LONGITUDINAL STUDIES; NONLINEAR DYNAMICS; PREDICTIVE VALUE OF TESTS; PROPORTIONAL HAZARDS MODELS; REFERENCE VALUES; RESEARCH DESIGN; TIME; TREATMENT OUTCOME; VIRAL LOAD;

HUMAN IMMUNODEFICIENCY VIRUS;

EID: 41149167559     PISSN: 14654644     EISSN: 14684357     Source Type: Journal    
DOI: 10.1093/biostatistics/kxm029     Document Type: Article

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