Ardo van den Hout
Multi-state analysis of cognitive ability data: A piecewise-constant model and aWeibull model
van den Hout, Ardo; Matthews, Fiona E.
Abstract
Longitudinal data can be used to estimate transition intensities between healthy and unhealthy states prior to death. When health is defined with respect to cognitive ability during old age, the trajectory of performance is either static or downward. An illness-death model is presented where the intensity of a transition is allowed to change over time by using a piecewise-constant model or by using a Weibull model. Observed improvement of cognitive ability is modelled as misclassification. The methodology is extended to estimate life expectancy with and without cognitive impairment. The measurement of cognitive ability is important as it is an important predictor of future need for care. The models can help to understand how cognitive decline develops over time and which factors play a role. The methods are illustrated using data from the Medical Research Council Cognitive Function and Ageing Study in the U.K. (1991-2005). Copyright © 2008 John Wiley & Sons, Ltd.
Citation
van den Hout, A., & Matthews, F. E. (2008). Multi-state analysis of cognitive ability data: A piecewise-constant model and aWeibull model. Statistics in Medicine, 27(26), 5440-5455. https://doi.org/10.1002/sim.3360
Journal Article Type | Article |
---|---|
Publication Date | Nov 1, 2008 |
Deposit Date | Dec 8, 2023 |
Journal | Statistics in Medicine |
Print ISSN | 0277-6715 |
Electronic ISSN | 1097-0258 |
Publisher | John Wiley and Sons |
Volume | 27 |
Issue | 26 |
Pages | 5440-5455 |
DOI | https://doi.org/10.1002/sim.3360 |
Public URL | https://hull-repository.worktribe.com/output/4455274 |
You might also like
Perceptual and conceptual processing of visual objects across the adult lifespan
(2019)
Journal Article
Two-decade change in prevalence of cognitive impairment in the UK
(2019)
Journal Article
Downloadable Citations
About Repository@Hull
Administrator e-mail: repository@hull.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search