Abstract Details
Activity Number:
|
358
|
Type:
|
Roundtables
|
Date/Time:
|
Tuesday, August 5, 2014 : 12:30 PM to 1:50 PM
|
Sponsor:
|
Health Policy Statistics Section
|
Abstract #313830
|
|
Title:
|
Statistical Analysis of Neuroimaging Data: Past Methods, Current Challenges, and Opportunities
|
Author(s):
|
DuBois Bowman*+
|
Companies:
|
Columbia University
|
Keywords:
|
Imaging ;
high-dimensional data ;
prediction ;
biomarker ;
fMRI
|
Abstract:
|
There have been major advances in the statistical analysis of neuroimaging data over the last two decades. Yet, due to inherent complexities and the massive dimensionality of the data, many needs remain for novel statistical development. Moreover, there are still enormous opportunities for neuroimaging to affect science and medicine, but these advances depend in part on our ability to establish sound estimation, inference, and prediction frameworks. We will briefly discuss existing approaches to analyzing neuroimaging data and highlight remaining challenges and opportunities. Among other topics, this roundtable will address prediction methods, Bayesian modeling, the search for neuroimaging biomarkers, multimodal imaging, combining imaging with genomics and other high-throughput data, and challenges in resting-state fMRI.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2014 program
|
2014 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Professional Development program, please 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.
Copyright © American Statistical Association.