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A regional approach for modeling dog cancer incidences with regard to different reporting practices


Boo, Gianluca; Leyk, Stefan; Fabrikant, Sara I; Pospischil, Andreas (2016). A regional approach for modeling dog cancer incidences with regard to different reporting practices. In: GIScience 2016: Ninth International Conference on Geographic Information Science, Montreal (Canada), 27 September 2016 - 30 September 2016.

Abstract

Underreporting is a persistent limitation in research on environmental risk factors for dog cancer, impeding potential comparative investigations with human cancer. To address this challenge, we propose a regional modeling approach accounting for different reporting practices across the study area. In doing this, we demonstrate the need for new modeling strategies to improve statistical performance through more systematic assessments of spatial non-stationarity of statistical associations that can be linked to underreporting.

Abstract

Underreporting is a persistent limitation in research on environmental risk factors for dog cancer, impeding potential comparative investigations with human cancer. To address this challenge, we propose a regional modeling approach accounting for different reporting practices across the study area. In doing this, we demonstrate the need for new modeling strategies to improve statistical performance through more systematic assessments of spatial non-stationarity of statistical associations that can be linked to underreporting.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Event End Date:30 September 2016
Deposited On:22 Nov 2016 18:12
Last Modified:02 Feb 2018 10:45
Publisher:GIScience
OA Status:Green

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