P1-15 Obesity clustering in Cebu, Philippines: an application of satscan and the spatial scan statistic
نویسندگان
چکیده
منابع مشابه
Selection of the Maximum Spatial Cluster Size of the Spatial Scan Statistic by Using the Maximum Clustering Set-Proportion Statistic
Spatial scan statistics are widely used in various fields. The performance of these statistics is influenced by parameters, such as maximum spatial cluster size, and can be improved by parameter selection using performance measures. Current performance measures are based on the presence of clusters and are thus inapplicable to data sets without known clusters. In this work, we propose a novel o...
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با توجه به گسترش روز افزون تقلب در حوزه بیمه به خصوص در بخش بیمه اتومبیل و تبعات منفی آن برای شرکت های بیمه، به کارگیری روش های مناسب و کارآمد به منظور شناسایی و کشف تقلب در این حوزه امری ضروری است. درک الگوی موجود در داده های مربوط به مطالبات گزارش شده گذشته می تواند در کشف واقعی یا غیرواقعی بودن ادعای خسارت، مفید باشد. یکی از متداول ترین و پرکاربردترین راه های کشف الگوی داده ها استفاده از ر...
A Bayesian Spatial Scan Statistic
We propose a new Bayesian method for spatial cluster detection, the “Bayesian spatial scan statistic,” and compare this method to the standard (frequentist) scan statistic approach. We demonstrate that the Bayesian statistic has several advantages over the frequentist approach, including increased power to detect clusters and (since randomization testing is unnecessary) much faster runtime. We ...
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Kulldorff’s scan statistic[1] is a spatial scan statistics method for detecting and evaluating statistically-significant, spatial clusters (e.g. disease, crime, etc). The method and its software implementation – SaTScan – is used widely in an increasing number of applications including epidemiology and other research fields. Here, we abbreviate the method as SaTScan method. Many researchers hav...
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Spatial scan statistics are widely used for count data to detect geographical disease clusters of high or low incidence, mortality or prevalence and to evaluate their statistical significance. Some data are ordinal or continuous in nature, however, so that it is necessary to dichotomize the data to use a traditional scan statistic for count data. There is then a loss of information and the choi...
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ژورنال
عنوان ژورنال: Journal of Epidemiology & Community Health
سال: 2011
ISSN: 0143-005X
DOI: 10.1136/jech.2011.142976c.9