CrossRef Text and Data Mining
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Spatial modeling of cutaneous leishmaniasis in Iranian army units during 2014-2017 using a hierarchical Bayesian method and the spatial scan statistic
Erfan Ayubi, Mohammad Barati, Arasb Dabbagh Moghaddam, Ali Reza Khoshdel
Epidemiol Health. 2018;40:e2018032  Published online July 13, 2018
DOI: https://doi.org/10.4178/epih.e2018032

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A Bayesian spatial scan statistic for zero-inflated count data
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A distribution-free spatial scan statistic for marked point processes
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A multivariate Gaussian scan statistic forspatial data
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Spatio-temporal analysis of cutaneous leishmaniasis using geographic information system among Iranian Army Units and its comparison with the general population of Iran during 2005–2014
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A multivariate nonparametric scan statistic for spatial data
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Analysis of runoff extremes using spatial hierarchical Bayesian modeling
Water Resources Research. 2013;49(10):6656-6670   Crossref logo
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Spatial Scan Statistic
Encyclopedia of Social Network Analysis and Mining. 2018;2882-2882   Crossref logo
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Evaluation of image registration spatial accuracy using a Bayesian hierarchical model
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The Study on Modified Spatial Scan Statistic
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Measuring the spatial accuracy of the spatial scan statistic
Spatial and Spatio-temporal Epidemiology. 2011;2(2):69-78   Crossref logo
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