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Noise exposure-response relationships established from repeated binary observations: Modeling approaches and applications

Schäffer, B. and Pieren, R. and Mendolia, F. and Basner, M. and Brink, M. (2017) Noise exposure-response relationships established from repeated binary observations: Modeling approaches and applications. Journal of the Acoustical Society of America, 141 (5), pp. 3175-3185. Acoustical Society of America. DOI: 10.1121/1.4982922 ISSN 0001-4966

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Abstract

Noise exposure-response relationships are used to estimate the effects of noise on individuals or a population. Such relationships may be derived from independent or repeated binary observations, and modeled by different statistical methods. Depending on the method by which they were established, their application in population risk assessment or estimation of individual responses may yield different results, i.e., predict “weaker” or “stronger” effects. As far as the present body of literature on noise effect studies is concerned, however, the underlying statistical methodology to establish exposure-response relationships has not always been paid sufficient attention. This paper gives an overview on two statistical approaches (subject-specific and population-averaged logistic regression analysis) to establish noise exposure-response relationships from repeated binary observations, and their appropriate applications. The considerations are illustrated with data from three noise effect studies, estimating also the magnitude of differences in results when applying exposure-response relationships derived from the two statistical approaches. Depending on the underlying data set and the probability range of the binary variable it covers, the two approaches yield similar to very different results. The adequate choice of a specific statistical approach and its application in subsequent studies, both depending on the research question, are therefore crucial.

Item URL in elib:https://elib.dlr.de/112561/
Document Type:Article
Title:Noise exposure-response relationships established from repeated binary observations: Modeling approaches and applications
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Schäffer, B.UNSPECIFIEDUNSPECIFIED
Pieren, R.UNSPECIFIEDUNSPECIFIED
Mendolia, F.franco.mendolia (at) dlr.dehttps://orcid.org/0000-0001-5359-5982
Basner, M.UNSPECIFIEDUNSPECIFIED
Brink, M.UNSPECIFIEDUNSPECIFIED
Date:2017
Journal or Publication Title:Journal of the Acoustical Society of America
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:141
DOI :10.1121/1.4982922
Page Range:pp. 3175-3185
Publisher:Acoustical Society of America
ISSN:0001-4966
Status:Published
Keywords:noise effect, exposure-response relationship, modeling approaches
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:air traffic management and operations
DLR - Research area:Aeronautics
DLR - Program:L AO - Air Traffic Management and Operation
DLR - Research theme (Project):L - Human factors and safety in Aeronautics
Location: Köln-Porz
Institutes and Institutions:Institute of Aerospace Medicine > Flight Physiology
Deposited By: Sender, Alina
Deposited On:22 Jun 2017 09:45
Last Modified:06 Sep 2019 15:17

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