A Tree-Based Scan Statistic for Database Disease Surveillance

DOI10.1111/1541-0420.00039zbMath1210.62177OpenAlexW1977926829WikidataQ47680245 ScholiaQ47680245MaRDI QIDQ3079117

Stephen J. Walsh, Zixing Fang, Martin Kulldorff

Publication date: 1 March 2011

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/1541-0420.00039

zbMATH Keywords

data miningepidemiologyexploratory analysisoccupationsilicosistree variable

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) Information storage and retrieval of data (68P20)

Related Items (7)

Efficient Optimization of Partition Scan Statistics via the Consecutive Partitions Property ⋮ Detection of an anomalous cluster in a network ⋮ Cluster detection in networks using percolation ⋮ An up-to-date review of scan statistics ⋮ Flexible scan statistic test to detect disease clusters in hierarchical trees ⋮ Power of the Sequential Monte Carlo Test ⋮ Change-point problems: bibliography and review

Cites Work

• Tight bounds and approximations for scan statistic probabilities for discrete data
• Two-dimensional discrete scan statistics
• Modified Randomization Tests for Nonparametric Hypotheses
• Large-deviation approximations to the distribution of scan statistics
• A spatial scan statistic
• Power of the scan statistic in detecting a changed segment in a Bernoulli sequence
• On the Distributions of Scan Statistics of a Two-Dimensional Poisson Process
• Clustering of Random Points in Two Dimensions

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