Model choice can obscure results in longitudinal studies

Journals of Gerontology - Series A Biological Sciences and Medical Sciences

Volumn 64, Issue 2, 2009, Pages 215-222

  Morrell, Christopher H ^a,b   Brant, Larry J ^a   Ferrucci, Luigi ^c  

^a NATIONAL INSTITUTE ON AGING   (United States)

^b LOYOLA UNIVERSITY MARYLAND   (United States)

^c HARBOR HOSPITAL   (United States)

Author keywords

Mixed effects models; Multilevel modeling; Observational study; Recruitment bias; Regression

Indexed keywords

ADULT; AGE; AGED; ARTICLE; EPIDEMIOLOGY; FEMALE; FOLLOW UP; HUMAN; LONGITUDINAL STUDY; MALE; MODEL; OBSERVATIONAL STUDY; PARAMETER; PRIORITY JOURNAL; TIME; AGING; BODY WEIGHT; CROSS-SECTIONAL STUDY; METABOLISM; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

CHOLESTEROL;

AGED; AGED, 80 AND OVER; AGING; BODY WEIGHT; CHOLESTEROL; CROSS-SECTIONAL STUDIES; EPIDEMIOLOGIC METHODS; HUMANS; LINEAR MODELS; LONGITUDINAL STUDIES; MODELS, STATISTICAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TIME FACTORS;

EID: 64949122467     PISSN: 10795006     EISSN: None     Source Type: Journal    
DOI: 10.1093/gerona/gln024     Document Type: Article

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