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Activity Number:
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202
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Type:
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Contributed
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Date/Time:
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Monday, August 7, 2006 : 2:00 PM to 3:50 PM
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Sponsor:
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Biometrics Section
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| Abstract - #305489 |
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Title:
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Modeling Distortion Product Otoacoustic Emissions Using Noncentral-F Mixed Effects Models
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Author(s):
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Lai Wei*+ and Peter F. Craigmile and Wayne M. King and Stephanie Jones
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Companies:
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The Ohio State University and The Ohio State University and The Ohio State University and The Ohio State University
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Address:
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602 Stark Court, Columbus, OH, 43210,
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Keywords:
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tests for periodicity ; maximum likelihood ; quasi-likelihood ; hearing tests
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Abstract:
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Distortion product otoacoustic emissions (DPOAEs) are sinusoids produced by the nonlinearities in the healthy cochlea. In a clinical environment, they are an important nonbehavioral measure of cochlear function because they are a close analog of the behavioral pure-tone audiogram. The standard method of the detection of DPOAEs is via the spectral analysis of sound signals recorded from the ear. In this talk, the noncentral-F mixed effects regression models are explored to capture the important features of DPOAE data. In particular, these models capture within-subject-variability of DPOAEs of healthy hearing subjects. This is key to understanding the underlying processes inherent in DPOAE-based hearing tests. The penalized quasi-likelihood method is used to estimate the model parameters, and we demonstrate how to do the model selection and diagnostic.
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