A random change point model for assessing variability in repeated measures of cognitive function.
Stat Med
; 27(27): 5786-98, 2008 Nov 29.
Article
en En
| MEDLINE
| ID: mdl-18680123
ABSTRACT
Some cognitive functions undergo transitions in old age, which motivates the use of a change point model for the individual trajectory. The age when the change occurs varies between individuals and is treated as random. We illustrate the properties of a random change point model and use it for data from a Swedish study of change in cognitive function in old age. Variance estimates are obtained from Markov chain Monte Carlo simulation using Gibbs sampling. The random change point model is compared with models within the family of linear random effects models. The focus is on the ability to capture variability in measures of cognitive function. The models make different assumptions about the variance over the age span, and we demonstrate that the random change point model has the most reasonable structure.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Modelos Estadísticos
/
Cognición
/
Pruebas Neuropsicológicas
Tipo de estudio:
Clinical_trials
/
Health_economic_evaluation
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Límite:
Adult
/
Aged
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Aged80
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Revista:
Stat Med
Año:
2008
Tipo del documento:
Article
País de afiliación:
Suecia