SwePub
Sök i LIBRIS databas

  Utökad sökning

id:"swepub:oai:DiVA.org:umu-82514"
 

Sökning: id:"swepub:oai:DiVA.org:umu-82514" > Attrition in Studie...

Attrition in Studies of Cognitive Aging

Josefsson, Maria, 1979- (författare)
Umeå universitet,Statistik
de Luna, Xavier, Professor (preses)
Umeå universitet,Statistiska institutionen
Nyberg, Lars, Professor (preses)
Umeå universitet,Umeå centrum för funktionell hjärnavbildning (UFBI),Fysiologi,Diagnostisk radiologi
visa fler...
Lundquist, Anders, PhD (preses)
Umeå universitet,Statistik
Villani, Mattias, Professor (opponent)
Avdelningen för statistik, Institutionen för datavetenskap, Linköpings universitet
visa färre...
 (creator_code:org_t)
ISBN 9789174597608
Umeå : Umeå universitet, 2013
Engelska 21 s.
Serie: Statistical studies, 1100-8989 ; 47
  • Doktorsavhandling (övrigt vetenskapligt/konstnärligt)
Abstract Ämnesord
Stäng  
  • 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.

Ämnesord

SAMHÄLLSVETENSKAP  -- Annan samhällsvetenskap -- Övrig annan samhällsvetenskap (hsv//swe)
SOCIAL SCIENCES  -- Other Social Sciences -- Other Social Sciences not elsewhere specified (hsv//eng)

Nyckelord

Attrition
missing data
age-related cognitive change
non- ignorable dropout
monotone missing pattern
mixture models
pattern- mixture models
imputation
Statistics
statistik

Publikations- och innehållstyp

vet (ämneskategori)
dok (ämneskategori)

Hitta via bibliotek

Till lärosätets databas

Sök utanför SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy