A Latent Process Model for Dementia and Psychometric Tests

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dc.creatorGaniayre, Julien
dc.creatorCommenges, Daniel
dc.creatorLetenneur, Luc
dc.date2007-03-29
dc.date.accessioned2026-07-07T08:08:52Z
dc.date.available2026-07-07T08:08:52Z
dc.descriptionWe jointly model longitudinal values of a psychometric test and diagnosis of dementia. The model is based on a continuous-time latent process representing cognitive ability. The link between the latent process and the observations is modeled in two phases. Intermediate variables are noisy observations of the latent process; scores of the psychometric test and diagnosis of dementia are obtained by categorizing these intermediate variables. We propose maximum likelihood inference for this model and we propose algorithms for performing this task. We estimated the parameters of such a model using the data of the five-year follow-up of the PAQUID study. In particularThis analysis yielded interesting results about the effect of educational level on both latent cognitive ability and specific performance in the mini mental test examination. The predictive ability of the model is illustrated by predicting diagnosis of dementia at the eight-year follow-up of the PAQUID study bsed on the information of the first five years.
dc.description29 pages 3 figures
dc.identifierhttps://arxiv.org/abs/math/0703871
dc.identifierhttp://arxiv.org/abs/math/0703871
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/131411
dc.subjectStatistics Theory
dc.subject92B15
dc.titleA Latent Process Model for Dementia and Psychometric Tests
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