Estimating long-term multivariate progression from short-term data

Alzheimer's and Dementia

Volumn 10, Issue 5, 2014, Pages S400-S410

  Donohue, Michael C ^a   Jacqmin Gadda, Hélène ^b   Le Goff, Mélanie ^b   Thomas, Ronald G ^c   Raman, Rema ^a,c   Gamst, Anthony C ^a,c   Beckett, Laurel A ^d   Jack, Clifford R ^e   Weiner, Michael W ^f   Dartigues, Jean François ^b   Aisen, Paul S ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b INSERM   (France)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

^e MAYO CLINIC   (United States)

^f UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Growth curves; Multiple outcomes; Progression curves; Self modeling regression; Semiparametric regression

Indexed keywords

BIOLOGICAL MARKER;

ALZHEIMER DISEASE; BIOSTATISTICS; CLINICAL OBSERVATION; DATA ANALYSIS; DISEASE COURSE; DISEASE DURATION; GROWTH CURVE; HUMAN; LEARNING AND MEMORY TEST; MULTIVARIATE ANALYSIS; NEUROIMAGING; NEUROPATHOLOGY; PROGNOSIS; REVIEW; SIMULATION; THEORETICAL STUDY; TREND STUDY; ALGORITHM; BIOLOGICAL MODEL; COMPUTER PROGRAM; COMPUTER SIMULATION; FACTUAL DATABASE; PATHOPHYSIOLOGY;

ALGORITHMS; ALZHEIMER DISEASE; COMPUTER SIMULATION; DATABASES, FACTUAL; DISEASE PROGRESSION; HUMANS; MODELS, BIOLOGICAL; MULTIVARIATE ANALYSIS; PROGNOSIS; SOFTWARE;

EID: 84908240079     PISSN: 15525260     EISSN: 15525279     Source Type: Journal    
DOI: 10.1016/j.jalz.2013.10.003     Document Type: Article

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