Search: id:"swepub:oai:DiVA.org:umu-82514" >
Attrition in Studie...
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Josefsson, Maria,1979-Umeå universitet,Statistik
(author)
Attrition in Studies of Cognitive Aging
Publisher, publication year, extent ...
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Umeå :Umeå universitet,2013
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21 s.
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electronicrdacarrier
Numbers
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LIBRIS-ID:oai:DiVA.org:umu-82514
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ISBN:9789174597608
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https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-82514URI
Supplementary language notes
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Language:English
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Summary in:English
Part of subdatabase
Classification
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Subject category:vet swepub-contenttype
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Subject category:dok swepub-publicationtype
Varying forms of title
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Bortfall i studier av kognitivt åldrande
Series
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Statistical studies,1100-8989 ;47
Notes
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Longitudinal studies of cognition are preferred to cross-sectional stud- ies, since they offer a direct assessment of age-related cognitive change (within-person change). Statistical methods for analyzing age-related change are widely available. There are, however, a number of challenges accompanying such analyzes, including cohort differences, ceiling- and floor effects, and attrition. These difficulties challenge the analyst and puts stringent requirements on the statistical method being used.The objective of Paper I is to develop a classifying method to study discrepancies in age-related cognitive change. The method needs to take into account the complex issues accompanying studies of cognitive aging, and specifically work out issues related to attrition. In a second step, we aim to identify predictors explaining stability or decline in cognitive performance in relation to demographic, life-style, health-related, and genetic factors.In the second paper, which is a continuation of Paper I, we investigate brain characteristics, structural and functional, that differ between suc- cessful aging elderly and elderly with an average cognitive performance over 15-20 years.In Paper III we develop a Bayesian model to estimate the causal effect of living arrangement (living alone versus living with someone) on cog- nitive decline. The model must balance confounding variables between the two living arrangement groups as well as account for non-ignorable attrition. This is achieved by combining propensity score matching with a pattern mixture model for longitudinal data.In paper IV, the objective is to adapt and implement available impu- tation methods to longitudinal fMRI data, where some subjects are lost to follow-up. We apply these missing data methods to a real dataset, and evaluate these methods in a simulation study.
Subject headings and genre
Added entries (persons, corporate bodies, meetings, titles ...)
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de Luna, Xavier,ProfessorUmeå universitet,Statistiska institutionen(Swepub:umu)xade0001
(thesis advisor)
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Nyberg, Lars,ProfessorUmeå universitet,Umeå centrum för funktionell hjärnavbildning (UFBI),Fysiologi,Diagnostisk radiologi(Swepub:umu)lany0001
(thesis advisor)
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Lundquist, Anders,PhDUmeå universitet,Statistik(Swepub:umu)anslst97
(thesis advisor)
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Villani, Mattias,ProfessorAvdelningen för statistik, Institutionen för datavetenskap, Linköpings universitet
(opponent)
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Umeå universitetStatistik
(creator_code:org_t)
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