Spectral-based non-central F mixed effect models, with application to otoacoustic emissions

Lai, W., Craigmile, P.F. and King, W. (2012) Spectral-based non-central F mixed effect models, with application to otoacoustic emissions. Journal of Time Series Analysis, 33(5), pp. 850-862. (doi: 10.1111/j.1467-9892.2012.00789.x)

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Abstract

In an experimental design involving replicate time series, on a number of experimental units, we consider the statistical problem of modelling the signal-to-noise ratio (SNR) of a number of sinusoidal features of interest, observed in the presence of nuisance sinusoids and non-white Gaussian errors. Based on local spectral F statistics, we introduce non-central F mixed effect models to assess and characterize the variability in the SNRs over units and experimental conditions. We apply these non-central F mixed models to the analysis of distortion product otoacoustic emissions (DPOAEs), retrograde sinusoidal pressure variations produced in the nonlinear cochlea by two-tone stimulation. Due to the narrowband nature of both the evoking stimuli and the emission, DPOAEs potentially represent a non-behavioural analogue of the pure-tone audiogram. However, substantial inter- and intra-subject variability currently limits their diagnostic validity. We model the cubic distortion product, the strongest such DPOAE, in a sample of 15 normal-hearing subjects. Our results demonstrate the ability to detect established gender- and evoking stimuli-dependent features, while being able to characterize the inter- and intra-subject variability. A demonstration that these methods can be readily applied to healthy patient populations indicates their utility in studying clinical populations.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Craigmile, Dr Peter
Authors: Lai, W., Craigmile, P.F., and King, W.
College/School:College of Science and Engineering > School of Mathematics and Statistics > Statistics
Journal Name:Journal of Time Series Analysis
Publisher:Blackwell
ISSN:0143-9782
ISSN (Online):1467-9892
Published Online:13 March 2012

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