A Class of Multiplicity Adjusted Tests for Spatial Clustering Based on Case–Control Point Data

DOI10.1111/j.1541-0420.2006.00633.xzbMath1124.62082OpenAlexW2002241479WikidataQ31109941 ScholiaQ31109941MaRDI QIDQ5427406

Toshiro Tango

Publication date: 20 November 2007

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2006.00633.x

zbMATH Keywords

chi-square distributionnearest neighbors

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (2)

Identification of differentially expressed spatial clusters using humoral response microarray data ⋮ A spatial scan statistic on trends

Cites Work

• On the asymptotic distribution of quadratic forms in uniform order statistics
• The Use of Maximin Efficiency Robust Tests in Combining Contingency Tables and Survival Analysis
• A spatial scan statistic
• Applied Spatial Statistics for Public Health Data
• On Robust Procedures
• Efficiency Robust Two-Sample Rank Tests
• Asymptotic Distribution of an Index for Disease Clustering
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