Wald-based spatial scan statistics for cluster detection

DOI10.1016/j.csda.2018.06.002zbMath1469.62108OpenAlexW2808668733WikidataQ129699040 ScholiaQ129699040MaRDI QIDQ1663136

Y. Aharonov

Publication date: 21 August 2018

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

Full work available at URL: https://doi.org/10.1016/j.csda.2018.06.002

zbMATH Keywords

likelihood ratiooverdispersiongeneralized linear modelscluster detectionspatial scan statisticsWald-based statistics

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Inference from spatial processes (62M30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Related Items (3)

Confidence intervals for spatial scan statistic ⋮ An up-to-date review of scan statistics ⋮ Iteratively reweighted least squares with random effects for maximum likelihood in generalized linear mixed effects models

Cites Work

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• On the limiting distribution of the spatial scan statistic
• Spatial scan statistics in loglinear models
• Quasi-likelihood functions
• Accounting for spatial correlation in the scan statistic
• Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
• SPATIAL SCAN STATISTICS FOR MODELS WITH OVERDISPERSION AND INFLATED ZEROS
• A spatial scan statistic
• Weighted Normal Spatial Scan Statistic for Heterogeneous Population Data
• A Spatial Scan Statistic for Survival Data
• Tests of Statistical Hypotheses Concerning Several Parameters When the Number of Observations is Large

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