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Activity Number: 340
Type: Topic Contributed
Date/Time: Tuesday, August 6, 2013 : 10:30 AM to 12:20 PM
Sponsor: Mental Health Statistics Section
Abstract - #308646
Title: Functional Data Analytic Approaches to Identifying Biosignatures Based on Imaging Data
Author(s): R. Todd Ogden*+
Companies: Columbia University
Keywords: functional data ; biosignature ; wavelets

In many biomedical applications it is of interest to use imaging data or other very high dimensional data as predictors in regression models, e.g., to predict a patient's treatment outcome based on brain imaging data obtained at baseline. Obtaining meaningful fits in such problems requires some form of dimension reduction while taking into account the structure of the data, a primary goal of functional data analysis. This talk will discuss various functional data analytic approaches for fitting such a model. In particular, wavelet analysis provides a set of useful tools that can allow regression models to focus on important aspects of the images across a range of scales.

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

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