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Activity Number: 223
Type: Invited
Date/Time: Monday, August 1, 2016 : 2:00 PM to 3:50 PM
Sponsor: Section on Bayesian Statistical Science
Abstract #318169 View Presentation
Title: DPOAE Test-Retest Difference Curves via Hierarchical Gaussian Processes
Author(s): Timothy Hanson* and Junshu Bao and Garnett McMillan and Kristin Knight
Companies: University of South Carolina and University of South Carolina and National Center for Rehabilitative Auditory Research and National Center for Rehabilitative Auditory Research
Keywords: Contour probability ; Functional data ; Growth curves ; Serial monitoring

Distortion product otoacoustic emissions (DPOAE) testing is a promising alternative to behavioral hearing tests and auditory brainstem response testing of pediatric cancer patients. The central goal of this study is to assess whether significant changes in the DPOAE frequency/emissions curve (DP-gram) occur in pediatric patients in a test-retest scenario. This is accomplished through the construction of normal reference charts, or credible regions, that DP-gram differences lie in, as well as contour probabilities that measure how abnormal (or in a certain sense rare) a test-retest difference is. A challenge is that the data were collected over varying frequencies, at different time points from baseline, and on possibly one or both ears. A hierarchical structural equation Gaussian process model is proposed to handle the three sources of correlation in the emissions measurements, wherein both subject-specific random effects and variance components governing the smoothness and variability of each child's Gaussian process are coupled together.

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

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