An unconditional space–time scan statistic for ZIP‐distributed data

DOI10.1111/sjos.12341zbMath1420.62447arXiv1712.09188OpenAlexW2807467018MaRDI QIDQ4629277

Michael Höhle, Benjamin Allévius

Publication date: 21 March 2019

Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1712.09188

zbMATH Keywords

EM algorithmdisease surveillancescan statisticspatiotemporalzero-inflated Poisson

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 (3)

Space-time border analysis to evaluate and detect clusters ⋮ An up-to-date review of scan statistics ⋮ scanstatistics

Uses Software

• R
• CRAN
• SaTScan
• GitHub
• SurvStat@RKI
• rsatscan

Cites Work

• Unnamed Item
• A spatial scan statistic for multiple clusters
• Statistical methods for disease clustering
• Bayesian outbreak detection in the presence of reporting delays
• A Space-Time Scan Statistic for Detecting Emerging Outbreaks
• SPATIAL SCAN STATISTICS FOR MODELS WITH OVERDISPERSION AND INFLATED ZEROS
• Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
• A spatial scan statistic
• Thin Plate Regression Splines
• Prospective Time Periodic Geographical Disease Surveillance Using a Scan Statistic
• Univariate Discrete Distributions
• Fast Subset Scan for Spatial Pattern Detection

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