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Random change point model for joint modeling of cognitive decline and dementia.

Abstract : We propose a joint model for cognitive decline and risk of dementia to describe the pre-diagnosis phase of dementia. We aim to estimate the time when the cognitive evolution of subjects in the pre-dementia phase becomes distinguishable from normal evolution and to study whether the shape of cognitive decline depends on educational level. The model combines a piecewise polynomial mixed model with a random change point for the evolution of the cognitive test and a log-normal model depending on the random change point for the time to dementia. Parameters are estimated by maximum likelihood using a Newton-Raphson-like algorithm. The expected cognitive evolution given age to dementia is then derived and the marginal distribution of dementia is estimated to check the log-normal assumption.
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https://www.hal.inserm.fr/inserm-00130107
Contributor : Helene Jacqmin-Gadda <>
Submitted on : Friday, February 9, 2007 - 12:21:26 PM
Last modification on : Wednesday, November 29, 2017 - 2:54:11 PM
Long-term archiving on: : Wednesday, April 7, 2010 - 2:43:32 AM

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Hélène Jacqmin-Gadda, Daniel Commenges, Jean-François Dartigues. Random change point model for joint modeling of cognitive decline and dementia.. Biometrics, Wiley, 2006, 62 (1), pp.254-60. ⟨10.1111/j.1541-0420.2005.00443.x⟩. ⟨inserm-00130107⟩

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