Joint modeling of repeated multivariate cognitive measures and competing risks of dementia and death: A latent process and latent class approach

Statistics in Medicine

Volumn 35, Issue 3, 2016, Pages 382-398

  Proust Lima, Cécile ^a,b   Dartigues, Jean François ^a,b   Jacqmin Gadda, Hélène ^a,b  

^a INSERM   (France)

^b UNIVERSITÉ DE BORDEAUX   (France)

Author keywords

Competing risk; Conditional independence; Curvilinearity; Joint model; Latent class; Multivariate longitudinal data

Indexed keywords

ARTICLE; CAUSE SPECIFIC SURVIVAL; COGNITIVE FUNCTION TEST; DEMENTIA; HUMAN; JOINT MODEL; LATENT CLASS MODEL; LATENT PROCESS; LOGISTIC REGRESSION ANALYSIS; MATHEMATICAL MODEL; MATHEMATICAL PHENOMENA; MAXIMUM LIKELIHOOD METHOD; MULTIVARIATE ANALYSIS; PREDICTION; PROBABILITY; PROPORTIONAL HAZARDS MODEL; SEMANTIC MEMORY; AGED; BAYES THEOREM; CLASSIFICATION; COGNITION; COMPUTER SIMULATION; DISEASE COURSE; FEMALE; FRANCE; GENETIC MARKER; LONGITUDINAL STUDY; MALE; MEDICAL RESEARCH; PREDICTIVE VALUE; PROCEDURES; PROSPECTIVE STUDY; PSYCHOMETRY; RISK ASSESSMENT; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; TIME FACTOR; VERY ELDERLY;

APOLIPOPROTEIN E4; GENETIC MARKER;

AGED; AGED, 80 AND OVER; APOLIPOPROTEIN E4; BAYES THEOREM; BIOMEDICAL RESEARCH; COGNITION; COMPUTER SIMULATION; DEMENTIA; DISEASE PROGRESSION; FEMALE; FRANCE; GENETIC MARKERS; HUMANS; LIKELIHOOD FUNCTIONS; LONGITUDINAL STUDIES; MALE; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; PREDICTIVE VALUE OF TESTS; PROSPECTIVE STUDIES; PSYCHOMETRICS; RISK ASSESSMENT; TIME FACTORS;

EID: 84954368071     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.6731     Document Type: Article

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