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- Josefsson, Maria,1979-Umeå universitet,Statistik (author)
Attrition in Studies of Cognitive Aging
- BookEnglish2013
Publisher, publication year, extent ...
- Umeå :Umeå universitet,2013
- 21 s.
- electronicrdacarrier
Numbers
- LIBRIS-ID:oai:DiVA.org:umu-82514
- ISBN:9789174597608
- https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-82514URI
Supplementary language notes
- Language:English
- Summary in:English
Part of subdatabase
- SwePubSwePub
Classification
Varying forms of title
- Bortfall i studier av kognitivt åldrande
Series
- Statistical studies,1100-8989 ;47
Notes
- 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
- SAMHÄLLSVETENSKAP Annan samhällsvetenskap Övrig annan samhällsvetenskap hsv//swe
- SOCIAL SCIENCES Other Social Sciences Other Social Sciences not elsewhere specified hsv//eng
- Attrition
- missing data
- age-related cognitive change
- non- ignorable dropout
- monotone missing pattern
- mixture models
- pattern- mixture models
- imputation
- Statistics
- statistik
Added entries (persons, corporate bodies, meetings, titles ...)
- de Luna, Xavier,ProfessorUmeå universitet,Statistiska institutionen(Swepub:umu)xade0001 (thesis advisor)
- Nyberg, Lars,ProfessorUmeå universitet,Umeå centrum för funktionell hjärnavbildning (UFBI),Fysiologi,Diagnostisk radiologi(Swepub:umu)lany0001 (thesis advisor)
- Lundquist, Anders,PhDUmeå universitet,Statistik(Swepub:umu)anslst97 (thesis advisor)
- Villani, Mattias,ProfessorAvdelningen för statistik, Institutionen för datavetenskap, Linköpings universitet (opponent)
- Umeå universitetStatistik (creator_code:org_t)
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