Estimation of bivariate measurements having different change points, with application to cognitive ageing
Estimation of bivariate measurements having different change points, with application to cognitive ageing
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DOI：
10.1002/sim.1113
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发表时间：
2001-12-30
影响因子：
2
通讯作者：
Lipton, RB
中科院分区：
文献类型：
--
作者：
Hall, CB;Ying, J;Lipton, RB
对衰老的纵向研究对每个受试者进行多次测量的重复观察。变点模型常用于纵向数据建模。我们证明了使用贝叶斯和配置文件的可能性方法，同时，估计不同的变化点在纵向过程中的两个不同的测量认知功能的受试者在布朗克斯老化研究谁开发阿尔茨海默氏病（AD）。分析表明，Buschke选择性提醒测量的加速记忆衰退开始于AD诊断前7至8年，而WAIS Performance IQ测量的快速任务表现下降开始于诊断前两年多一点，显着在记忆衰退之后。版权所有（C）2001约翰威利父子有限公司
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 (C) 2001 John Wiley & Sons, Ltd.