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Journal of Applied Statistics Volume 39, 2012 - Issue 11
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Original Articles

Spatial modeling using frequentist approach for disease mapping

Mahmoud Torabi Department of Community Health Sciences, University of Manitoba, Winnipeg, Manitoba, CanadaCorrespondence[email protected]
Pages 2431-2439 | Received 18 Nov 2011, Accepted 10 Jul 2012, Published online: 01 Aug 2012

Citations (7)

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Read on this site (2)

Mahmoud Torabi. (2015) Likelihood Inference for Spatial Generalized Linear Mixed Models. Communications in Statistics - Simulation and Computation 44:7, pages 1692-1701.
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Mahmoud Torabi. (2014) Hierarchical Bayesian bivariate disease mapping: analysis of children and adults asthma visits to hospital. Journal of Applied Statistics 41:3, pages 612-621.
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Articles from other publishers (5)

Nushrat Nazia, Zahid Ahmad Butt, Melanie Lyn Bedard, Wang-Choi Tang, Hibah Sehar & Jane Law. (2022) Methods Used in the Spatial and Spatiotemporal Analysis of COVID-19 Epidemiology: A Systematic Review. International Journal of Environmental Research and Public Health 19:14, pages 8267.
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Shabnam Balamchi & Mahmoud Torabi. (2021) Spatial modeling of repeated events with an application to disease mapping. Spatial Statistics 42, pages 100425.
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Baptiste Pignon, Franck Schürhoff, Grégoire Baudin, Aziz Ferchiou, Jean-Romain Richard, Ghassen Saba, Marion Leboyer, James B. Kirkbride & Andrei Szöke. (2016) Spatial distribution of psychotic disorders in an urban area of France: an ecological study. Scientific Reports 6:1.
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Mahmoud Torabi. (2014) Spatiotemporal modeling of odds of disease. Environmetrics 25:5, pages 341-350.
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Mahmoud Torabi. (2013) Spatio–temporal modeling for disease mapping using CAR and B‐spline smoothing. Environmetrics 24:3, pages 180-188.
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