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Comparative Study
. 2008 Nov 29;27(27):5786-98.
doi: 10.1002/sim.3380.

A random change point model for assessing variability in repeated measures of cognitive function

Annica Dominicus  1 , Samuli Ripatti, Nancy L Pedersen, Juni Palmgren
Affiliations
Comparative Study

A random change point model for assessing variability in repeated measures of cognitive function

Annica Dominicus et al. Stat Med. .

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.

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Figures

Figure 1
Figure 1
Symbol digit scores for 10 randomly selected participants in SATSA with five repeated measures of cognitive function.
Figure 2
Figure 2
Observed and predicted mean curves for cognitive function.
Figure 3
Figure 3
Observed and predicted variance curves for cognitive function.
See this image and copyright information in PMC

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