Abstract Details
Activity Number:
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350
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 11, 2015 : 10:30 AM to 12:20 PM
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Sponsor:
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International Chinese Statistical Association
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Abstract #315257
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Title:
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A Score Test for a Proportional Odds Model with Application to Neuroimaging Genetic Data
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Author(s):
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Junghi Kim* and Wei Pan
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Companies:
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University of Minnesota and University of Minnesota
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Keywords:
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data-adaptive ;
imaging genetic ;
proportional odds model ;
ADNI
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Abstract:
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There has been increasing interest in developing more powerful and flexible statistical tests to detect genetic associations with multiple traits, as arising from neuroimaging genetic studies. Most of existing methods treat an SNP as a predictor with an additive score and thus assume its linear relationships with multiple traits. In this paper we propose treating an SNP as an ordinal response in a proportional odds model with multiple traits (and other covariates) as predictors. More importantly, we propose and study a data-adaptive score-based test in such a model. We demonstrate the applicability and potential power gain of our new method with simulated data and an Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset.
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Authors who are presenting talks have a * after their name.
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