A self-adjusted weighted likelihood ratio test for global clustering of disease

DOI10.1080/00949655.2015.1049604OpenAlexW2232052410MaRDI QIDQ5222390

Yan Su, Lianjie Shu, Ruoyu Zhou

Publication date: 1 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2015.1049604

zbMATH Keywords

likelihood ratioweighted functionglobal chain clusteringhot-spot clusters

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Power comparisons for disease clustering tests
• A standardized scan statistic for detecting spatial clusters with estimated parameters
• A test to detect clusters of disease
• A spatial scan statistic
• The Fitting of Power Series, Meaning Polynomials, Illustrated on Band-Spectroscopic Data
• Robust Statistics

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