A spatial scan statistic for multiple clusters

DOI10.1016/j.mbs.2011.07.004zbMath1226.92039OpenAlexW2113991440WikidataQ51541225 ScholiaQ51541225MaRDI QIDQ648034

Zhong-Jie Li, Xiao-Zhou Li, Jin-Feng Wang, Sheng-Jie Lai, Wei-zhong Yang

Publication date: 22 November 2011

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mbs.2011.07.004

zbMATH Keywords

statistical powergeographic disease surveillance

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Probabilistic models, generic numerical methods in probability and statistics (65C20) Medical applications (general) (92C50)

Related Items (5)

Multi-objective approach for multiple clusters detection in data points events ⋮ Efficient Optimization of Partition Scan Statistics via the Consecutive Partitions Property ⋮ \textit{MAD-STEC}: a method for multiple automatic detection of space-time emerging clusters ⋮ An unconditional space–time scan statistic for ZIP‐distributed data ⋮ An up-to-date review of scan statistics

Cites Work

• Spatial scan statistics adjusted for multiple clusters
• Power comparisons for disease clustering tests
• Geographic and network surveillance via scan statistics for critical area detection
• Modified Randomization Tests for Nonparametric Hypotheses
• A spatial scan statistic
• Prospective Time Periodic Geographical Disease Surveillance Using a Scan Statistic
• A Hypothesis‐Free Multiple Scan Statistic with Variable Window
• A Spatial Scan Statistic for Survival Data

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