This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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502
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 4, 2010 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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Abstract - #306600 |
Title:
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Functional Analysis of Tracted-Based Diffusion Tensors
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Author(s):
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Hongtu Zhu*+ and Martin Styner and John H. Gilmore
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Companies:
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The University of North Carolina at Chapel Hill and The University of North Carolina at Chapel Hill and The University of North Carolina at Chapel Hill
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Address:
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104 Tremont Circle, Chapel Hill, NC, 27516, United States
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Keywords:
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functional data analysis ;
varying coefficient model ;
local polynomial ;
test statistics ;
diffusion tensor
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Abstract:
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This paper presents a functional regression framework, called VCMTS, for the analysis of multiple diffusion properties along fiber bundle and their association with a set of covariates of interest, such as age, diagnostic status and gender, in real applications. The functional regression framework consists of four integrated components: a varying coefficient model for characterizing the association between fiber bundle diffusion properties and a set of covariates, the local polynomial kernel method for estimating smoothed multiple diffusion properties along individual fiber bundles, a global test statistic for testing hypotheses of interest, and a resampling method for approximating the $p-$value of the global test statistic. The proposed methodology is applied to a clinical study of neurodevelopment.
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