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http://dx.doi.org/10.7465/jkdi.2016.27.5.1193

Cancer cluster detection using scan statistic  

Han, Junhee (Division of Biostatistics, Pusan National University Yangsan Hospital)
Lee, Minjung (Department of Statistics, Kangwon National University)
Publication Information
Journal of the Korean Data and Information Science Society / v.27, no.5, 2016 , pp. 1193-1201 More about this Journal
Abstract
In epidemiology or etiology, we are often interested in identifying areas of elevated risk, so called, hot spot or cluster. Many existing clustering methods only tend to a result if there exists any clustering pattern in study area. Recently, however, lots of newly introduced clustering methods can identify the location, size, and shape of clusters and test if the clusters are statistically significant as well. In this paper, one of most commonly used clustering methods, scan statistic, and its implementation SaTScan software, which is freely available, will be introduced. To exemplify the usage of SaTScan software, we used cancer data from the SEER program of National Cancer Institute of U.S.A.We aimed to help researchers and practitioners, who are interested in spatial cluster detection, using female lung cancer mortality data of the SEER program.
Keywords
Cancer cluster; relative risks; SaTScan; scan statistic; spatial and spatiotemporal data;
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