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Estimation of bivariate measurements having different change points, with application to cognitive ageing
Author(s) -
Hall Charles B.,
Ying Jun,
Kuo Lynn,
Sliwinski Martin,
Buschke Herman,
Katz Mindy,
Lipton Richard B.
Publication year - 2001
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.1113
Subject(s) - bivariate analysis , cognitive decline , ageing , cognitive aging , bayesian probability , cognition , wechsler adult intelligence scale , longitudinal study , time point , dementia , psychology , statistics , medicine , mathematics , disease , psychiatry , philosophy , pathology , aesthetics
Abstract Longitudinal studies of ageing make repeated observations of multiple measurements on each subject. Change point models are often used to model longitudinal data. We demonstrate the use of Bayesian and profile likelihood methods to simultaneously estimate different change points in the longitudinal course of two different measurements of cognitive function in subjects in the Bronx Aging Study who developed Alzheimer's disease (AD). Analyses show that accelerated memory decline, as measured by Buschke Selective Reminding, begins between seven and eight years before diagnosis of AD, while decline in performance on speeded tasks as measured by WAIS Performance IQ begins slightly more than two years before diagnosis, significantly after the decline in memory. Copyright © 2001 John Wiley & Sons, Ltd.