Longitudinal models of growth and survival applied to the early detection of Alzheimer's disease

Journal of Geriatric Psychiatry and Neurology

Volumn 18, Issue 4, 2005, Pages 234-241

  McArdle, John J ^a   Small, Brent J ^b   Bäckman, Lars ^c,d   Fratiglioni, Laura ^c  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^b UNIVERSITY OF SOUTH FLORIDA   (United States)

^c KAROLINSKA INSTITUTE   (Sweden)

^d MAX PLANCK INSTITUTE FOR HUMAN DEVELOPMENT   (Germany)

Author keywords

Alzheimer's disease; Early prediction; Growth survival modeling; Shared parameter models

Indexed keywords

ACCURACY; AGED; ALZHEIMER DISEASE; COGNITIVE DEFECT; CONFERENCE PAPER; DISEASE DURATION; EARLY DIAGNOSIS; GROWTH CURVE; HUMAN; PRIORITY JOURNAL; RELIABILITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; SURVIVAL; SWEDEN;

ADULT; AGED; AGING; ALZHEIMER DISEASE; COGNITION DISORDERS; FEMALE; HUMANS; LONGITUDINAL STUDIES; MALE; MIDDLE AGED; MODELS, THEORETICAL; PROGNOSIS; RISK FACTORS; SURVIVAL;

EID: 28444465144     PISSN: 08919887     EISSN: None     Source Type: Journal    
DOI: 10.1177/0891988705281879     Document Type: Conference Paper

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