Spatial scan statistics using elliptic windows

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Standard

Spatial scan statistics using elliptic windows. / Christiansen, L. E.; Andersen, J. S.; Wegener, H. C.; Madsen, H.

I: Journal of Agricultural, Biological, and Environmental Statistics, Bind 11, Nr. 4, 01.12.2006, s. 411-424.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Christiansen, LE, Andersen, JS, Wegener, HC & Madsen, H 2006, 'Spatial scan statistics using elliptic windows', Journal of Agricultural, Biological, and Environmental Statistics, bind 11, nr. 4, s. 411-424. https://doi.org/10.1198/108571106X154858

APA

Christiansen, L. E., Andersen, J. S., Wegener, H. C., & Madsen, H. (2006). Spatial scan statistics using elliptic windows. Journal of Agricultural, Biological, and Environmental Statistics, 11(4), 411-424. https://doi.org/10.1198/108571106X154858

Vancouver

Christiansen LE, Andersen JS, Wegener HC, Madsen H. Spatial scan statistics using elliptic windows. Journal of Agricultural, Biological, and Environmental Statistics. 2006 dec. 1;11(4):411-424. https://doi.org/10.1198/108571106X154858

Author

Christiansen, L. E. ; Andersen, J. S. ; Wegener, H. C. ; Madsen, H. / Spatial scan statistics using elliptic windows. I: Journal of Agricultural, Biological, and Environmental Statistics. 2006 ; Bind 11, Nr. 4. s. 411-424.

Bibtex

@article{08349f987d064ab69d29d90ac39310c8,
title = "Spatial scan statistics using elliptic windows",
abstract = "The spatial scan statistic is widely used to search for clusters. This article shows that the usually applied elimination of secondary clusters as implemented in SatScan is sensitive to smooth changes in the shape of the clusters. We present an algorithm for generation of a set of confocal elliptic windows and propose a new way to present the information when a spatial point process is considered. This method gives smooth changes for smooth expansions of the set of clusters. A simulation study is used to show how the elliptic windows outperforms the usual circular windows. The proposed method for graphical representation of the information in a set of clusters contain more information than just presenting nonoverlapping clusters. We suggest that more than one graphical representation of a set of clusters should be used to easily extract more information and to avoid pitfalls of the selected method.",
keywords = "Broilers, Campylobacter, Likelihood ratio, Monte Carlo, Overlapping clusters, SatScan",
author = "Christiansen, {L. E.} and Andersen, {J. S.} and Wegener, {H. C.} and H. Madsen",
year = "2006",
month = dec,
day = "1",
doi = "10.1198/108571106X154858",
language = "English",
volume = "11",
pages = "411--424",
journal = "Journal of Agricultural, Biological, and Environmental Statistics",
issn = "1085-7117",
publisher = "Springer",
number = "4",

}

RIS

TY - JOUR

T1 - Spatial scan statistics using elliptic windows

AU - Christiansen, L. E.

AU - Andersen, J. S.

AU - Wegener, H. C.

AU - Madsen, H.

PY - 2006/12/1

Y1 - 2006/12/1

N2 - The spatial scan statistic is widely used to search for clusters. This article shows that the usually applied elimination of secondary clusters as implemented in SatScan is sensitive to smooth changes in the shape of the clusters. We present an algorithm for generation of a set of confocal elliptic windows and propose a new way to present the information when a spatial point process is considered. This method gives smooth changes for smooth expansions of the set of clusters. A simulation study is used to show how the elliptic windows outperforms the usual circular windows. The proposed method for graphical representation of the information in a set of clusters contain more information than just presenting nonoverlapping clusters. We suggest that more than one graphical representation of a set of clusters should be used to easily extract more information and to avoid pitfalls of the selected method.

AB - The spatial scan statistic is widely used to search for clusters. This article shows that the usually applied elimination of secondary clusters as implemented in SatScan is sensitive to smooth changes in the shape of the clusters. We present an algorithm for generation of a set of confocal elliptic windows and propose a new way to present the information when a spatial point process is considered. This method gives smooth changes for smooth expansions of the set of clusters. A simulation study is used to show how the elliptic windows outperforms the usual circular windows. The proposed method for graphical representation of the information in a set of clusters contain more information than just presenting nonoverlapping clusters. We suggest that more than one graphical representation of a set of clusters should be used to easily extract more information and to avoid pitfalls of the selected method.

KW - Broilers

KW - Campylobacter

KW - Likelihood ratio

KW - Monte Carlo

KW - Overlapping clusters

KW - SatScan

UR - http://www.scopus.com/inward/record.url?scp=33845456872&partnerID=8YFLogxK

U2 - 10.1198/108571106X154858

DO - 10.1198/108571106X154858

M3 - Journal article

AN - SCOPUS:33845456872

VL - 11

SP - 411

EP - 424

JO - Journal of Agricultural, Biological, and Environmental Statistics

JF - Journal of Agricultural, Biological, and Environmental Statistics

SN - 1085-7117

IS - 4

ER -

ID: 228688801