Power comparisons for an improved disease clustering test

DOI10.1016/J.CSDA.2004.03.012zbMath1429.62582OpenAlexW1993912986MaRDI QIDQ957147

Laura Forsberg, Marco Bonetti, Marcello Pagano, Al Ozonoff

Publication date: 26 November 2008

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2004.03.012

zbMATH Keywords

spatial statisticshypothesis testingpowercluster detectionspatial epidemiology

Mathematics Subject Classification ID

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

Related Items (5)

Generalized Scan Statistics for Disease Surveillance ⋮ Testing spatial randomness based on empirical distribution function: a study on lattice data ⋮ The choice of the number of bins for the \(M\) statistic ⋮ Theoretical properties of tests for spatial clustering of count data ⋮ Arbitrarily shaped multiple spatial cluster detection for case event data

Cites Work

• Power comparisons for disease clustering tests
• A spatial scan statistic
• On the Choice of the Number of Class Intervals in the Application of the Chi Square Test

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