JSM 2015 Preliminary Program

Online Program Home
My Program

Abstract Details

Activity Number: 350
Type: Topic Contributed
Date/Time: Tuesday, August 11, 2015 : 10:30 AM to 12:20 PM
Sponsor: International Chinese Statistical Association
Abstract #315257
Title: A Score Test for a Proportional Odds Model with Application to Neuroimaging Genetic Data
Author(s): Junghi Kim* and Wei Pan
Companies: University of Minnesota and University of Minnesota
Keywords: data-adaptive ; imaging genetic ; proportional odds model ; ADNI
Abstract:

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.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2015 program





For program information, contact the JSM Registration Department or phone (888) 231-3473.

For Professional Development information, contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

2015 JSM Online Program Home