scholarly journals A Random Change Point Model for Cognitive Decline in Alzheimer’s Disease and Mild Cognitive Impairment

2012 ◽  
Vol 39 (2) ◽  
pp. 73-83 ◽  
Author(s):  
Lei Yu ◽  
Patricia Boyle ◽  
Robert S. Wilson ◽  
Eisuke Segawa ◽  
Sue Leurgans ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Decline ◽  
Change Point ◽  
Point Model ◽  
Change Point Model ◽  
Random Change

A Bayesian hierarchical change point model with parameter constraints

2020 ◽  
pp. 096228022094809
Author(s):  
Hong Li ◽  
Andreana Benitez ◽  
Brian Neelon
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Decline ◽  
Change Point ◽  
Normal Aging ◽  
Point Model ◽  
Bayesian Hierarchical ◽  
Random Slope ◽  
Change Point Model ◽  
Parameter Constraints

Alzheimer’s disease is the leading cause of dementia among adults aged 65 or above. Alzheimer’s disease is characterized by a change point signaling a sudden and prolonged acceleration in cognitive decline. The timing of this change point is of clinical interest because it can be used to establish optimal treatment regimens and schedules. Here, we present a Bayesian hierarchical change point model with a parameter constraint to characterize the rate and timing of cognitive decline among Alzheimer’s disease patients. We allow each patient to have a unique random intercept, random slope before the change point, random change point time, and random slope after the change point. The difference in slope before and after a change point is constrained to be nonpositive, and its parameter space is partitioned into a null region (representing normal aging) and a rejection region (representing accelerated decline). Using the change point time, the estimated slope difference, and the threshold of the null region, we are able to (1) distinguish normal aging patients from those with accelerated cognitive decline, (2) characterize the rate and timing for patients experiencing cognitive decline, and (3) predict personalized risk of progression to dementia due to Alzheimer’s disease. We apply the approach to data from the Religious Orders Study, a national cohort study of aging Catholic nuns, priests, and lay brothers.

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

2008 ◽  
Vol 27 (27) ◽  
pp. 5786-5798 ◽  
Author(s):  
Annica Dominicus ◽  
Samuli Ripatti ◽  
Nancy L. Pedersen ◽  
Juni Palmgren
Keyword(s):  
Cognitive Function ◽  
Change Point ◽  
Repeated Measures ◽  
Point Model ◽  
Change Point Model ◽  
Random Change
Sign in / Sign up

Export Citation Format

Share Document