Abstract Details
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Activity Number:
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264
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Type:
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Contributed
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Date/Time:
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Monday, August 5, 2013 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Teaching of Statistics in the Health Sciences
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| Abstract - #307560 |
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Title:
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Utilizing Linear and Nonlinear Random-Effects Modeling to Understand Temporal Change in Rehabilitation Medicine Outcomes: A NIDRR Traumatic Brain Injury Model Systems Presentation
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Author(s):
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Christopher Pretz*+
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Companies:
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Craig Hospital
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Keywords:
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Hierarchical Linear Modeling ;
non-linear modeling ;
Random Effects Modeling ;
Individual Growth Curve Analysis ;
Longitudinal Analysis
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Abstract:
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Modeling longitudinal outcomes in rehabilitation medicine are accompanied by their own unique sets of challenges as they often display floor and ceiling effects or other types of complicated trajectories. Strategies for modeling these trajectories are provided while simultaneously introducing random effects and individual level covariates into the modeling process. Specifically, this presentation includes examples of applying random effects linear and nonlinear modeling to describe in detail temporal patterns at the individual level for those participating in the Traumatic Brain Injury Model System National Database. Computer generated interactive displays based on research recently submitted for publication will be provided.
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Authors who are presenting talks have a * after their name.
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