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Activity Number: 595 - Dynamic Methods for Functional Data with Application to Clinical Data Analysis
Type: Invited
Date/Time: Thursday, August 3, 2017 : 8:30 AM to 10:20 AM
Sponsor: ENAR
Abstract #322388 View Presentation
Title: A Joint Optimal Design for Functional Data with Application to Scheduling Ultrasound Scans
Author(s): Luo Xiao*
Companies: North Carolina State University

We study a joint optimal design problem for sampling functional data. The goal is to find optimal time points for sampling functional data so that the underlying true function as well as a scalar outcome of interest can be accurately predicted. The problem is motivated by a fetal growth study, where the objective is to determine the optimal times to collect ultrasound measurements and the number of ultrasound measurements that are needed to recover fetal growth trajectories and to predict child birth outcomes. Under the frameworks of functional principal component analysis and functional linear models, we formulate the joint design problem as an optimization criterion. Performance of the proposed method is thoroughly investigated via a simulation study and by its application to the fetal ultrasound.

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

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