Weighted Normal Spatial Scan Statistic for Heterogeneous Population Data

DOI10.1198/jasa.2009.ap07613zbMath1388.62186OpenAlexW2024734619WikidataQ57590082 ScholiaQ57590082MaRDI QIDQ5254703

Lan Huang, Martin Kulldorff, Eric J. Feuer, Ram C. Tiwari, Zhaohui Zou

Publication date: 10 June 2015

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1198/jasa.2009.ap07613

zbMATH Keywords

cluster detectionspatial epidemiologygeographic variationbreast cancer mortalitylung cancer survival

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (9)

Scan statistic tail probability assessment based on process covariance and window size ⋮ Wald-based spatial scan statistics for cluster detection ⋮ On the limiting distribution of the spatial scan statistic ⋮ Identifying subgroups of age and cohort effects in obesity prevalence ⋮ An up-to-date review of scan statistics ⋮ Spatial Cluster Detection for Weighted Outcomes Using Cumulative Geographic Residuals ⋮ Identifying Different Areas of Inhomogenous Mineral Subsoil: Spatial Fluctuation Approaches ⋮ A spatial scan statistic on trends ⋮ Evaluation of hotspot cluster detection using spatial scan statistic based on exact counting

Uses Software

• SaTScan

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