14654721

Source:http://linkedlifedata.com/resource/pubmed/id/14654721

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0001792, umls-concept:C0204514, umls-concept:C0205127, umls-concept:C0392747, umls-concept:C0441463, umls-concept:C0443172, umls-concept:C1392786
pubmed:issue	1
pubmed:dateCreated	2003-12-5
pubmed:abstractText	Among the main data-analytical advances of recent decades are Latent Growth Models (LGM) and Multilevel Models (MLM) for the analysis of longitudinal data.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/7601655
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:issn	0304-324X
pubmed:author	pubmed-author:GhislettaPaoloP, pubmed-author:LindenbergerUlmanU
pubmed:copyrightInfo	Copyright 2004 S. Karger AG, Basel
pubmed:issnType	Print
pubmed:volume	50
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	12-6
pubmed:dateRevised	2005-11-16
pubmed:meshHeading	pubmed-meshheading:14654721-Aging, pubmed-meshheading:14654721-Cognition, pubmed-meshheading:14654721-Geriatric Assessment, pubmed-meshheading:14654721-Humans, pubmed-meshheading:14654721-Longitudinal Studies, pubmed-meshheading:14654721-Models, Psychological, pubmed-meshheading:14654721-Research
pubmed:articleTitle	Static and dynamic longitudinal structural analyses of cognitive changes in old age.
pubmed:affiliation	Center for Interdisciplinary Gerontology, University of Geneva, Geneva, Switzerland. paolo.ghisletta@cig.unige.ch
pubmed:publicationType	Journal Article, Review