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Activity Number:
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11
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Type:
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Invited
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Date/Time:
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Sunday, July 29, 2007 : 2:00 PM to 3:50 PM
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Sponsor:
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ASA, Utah Chapter
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| Abstract - #308043 |
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Title:
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Analyzing Repeated Neuropsychiatric, Cognitive, and Functional Measures in a Population-Based Study of Dementia
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Author(s):
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Chris Corcoran*+ and Carl F. Pieper and Peter Zandi
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Companies:
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Utah State University and Duke University and Johns Hopkins University
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Address:
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3900 Old Main Hill, Logan, UT, 84322-3900,
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Keywords:
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repeated measures ; dementia ; cognition ; multivariate models ; latent class
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Abstract:
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Studies of elderly dementia patients incorporate a variety of measures to characterize the course of dementia. These metrics can be divided into three general categories - cognitive, behavioral, and functional - each consisting of subscales designed to capture more specific aspects of individual symptoms. Understanding what influences rates of change across these domains, and how these rates interact over time, may assist in creating and improving treatments. We illustrate the issues relative to analyzing repeated-measures data across multiple domains with data from the Cache County Memory Study - one of the only existing population-based longitudinal studies of dementia. In particular, we discuss and compare the use of multivariate hierarchical linear models and latent class trajectory analyses to assess patterns of change and correlations between trajectories across domains.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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