JSM 2015 Preliminary Program

Online Program Home
My Program

Abstract Details

Activity Number: 162
Type: Topic Contributed
Date/Time: Monday, August 10, 2015 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract #315577
Title: A Lag Functional Linear Model for Prediction of Magnetization Transfer Ratio in Multiple Sclerosis Lesions
Author(s): Gina-Maria Pomann* and Ana-Maria Staicu and Elizabeth Sweeney and Amanda Mejia and Blake Dewey and Daniel Reich and Russell Shinohara
Companies: Duke University and North Carolina State University and The Johns Hopkins University and The Johns Hopkins University and National Institute of Neurological Disorders and Stroke and NIH and University of Pennsylvania
Keywords: Functional Data Analysis ; Functional Linear Model ; Magnetization Transfer Ratio ; Multiple Sclerosis
Abstract:

We propose a lag functional linear model to predict a functional response using multiple functional predictors observed at discrete grids with noise. Two procedures are proposed to estimate the regression parameter functions; 1) a semi-local smoothing approach using generalized cross-validation; and 2) a global smoothing approach using a restricted maximum likelihood framework. Numerical studies are presented to analyze predictive accuracy in many realistic scenarios. We find that the global smoothing approach results in higher predictive accuracy than the semi-local approach. The methods are employed to estimate magnetization transfer ratio (MTR), a measure of tissue damage. In patients with multiple sclerosis (MS), the myelin sheaths around the axons of the neurons in the brain and spinal cord are damaged. The model facilitates the use of commonly acquired imaging modalities to estimate MTR within lesions of patients with MS. The proposed model outperforms two other cross-sectional models that do not account for temporal patterns of lesion development and repair.


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