Displaying results 1 - 5 of 5
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Geographically Meaningful Cluster Scanning Through Weak Link Correction
Content Type: Abstract
Many heuristics were developed recently to find arbitrarily shaped clusters (see review [1]). The most popular statistic is the spatial scan [2]. Nevertheless, even if all cluster solutions could be known, the problem of… read more… statistic is the spatial scan [2]. Nevertheless, even if all cluster solutions could be known, the problem … solution presented is a Pareto-set, consisting of all the clusters found which are not simultaneously worse in … The significance evaluation is conducted in parallel for all the clusters in the Pareto-set through a … -
A new interpretation of the inference test for the spatial scan statistic
Content Type: Abstract
Spatial cluster analysis is considered an important technique for the elucidation of disease causes and epidemiological surveillance. Kulldorff's spatial scan statistic, defined as a likelihood ratio, is the usual measure of the strength of… read more… work, this adjustment is not done in an even manner for all possible cluster sizes. We propose a modification to the … and Ricardo H. Caldeira Takahashi4 1Universidade Federal de São João del Rei, Ouro Branco, Brazil; 2Statistics, … work, this adjustment is not done in an even manner for all possible cluster sizes (3). Methods We pose a modified … -
Optimizing Simultaneously the Geometry and the Internal Cohesion of Clusters
Content Type: Abstract
Irregularly shaped cluster finders frequently end up with a solution consisting of a large zone z spreading through the map, which is merely a collection of the highest valued regions, but not a geographically sound cluster. One way… read more… J. Ferreira, André L.F. Cançado Universidade Federal de Minas Gerais OBJECTIVE We introduce a novel spatial scan … The solution presented is a Pareto-set, consisting of all the clusters found which are not si- multaneously worse … A Spatial Scan Statistic, Comm. Statist. Theory Meth., 26(6), 1481-1496. Corresponding author: duczmal@ufmg.br … -
Significant multiple high and low risk regions in event data maps
Content Type: Abstract
The Voronoi Based Scan (VBScan)[1] is a fast method for the detection and inference of point data set space-time disease clusters. A Voronoi diagram is built for points representing population individuals (cases and controls). The number of Voronoi… read more… of a map consisting of point event data, identifying all the multiple significant anomalies, which may be of high … Diamantina, Brazil; 2Statistics, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil; 3Universidade … of a map consisting of point event data, identifying all the multiple significant anomalies, which may be of high … -
Weighted non-connectivity for detection of irregular clusters
Content Type: Abstract
Heuristics to detect irregularly shaped spatial clusters were reviewed recently. The spatial scan statistic is a widely used measure of the strength of clusters. However, other measures may also be useful, such as the geometric compactness… read more… algorithm. The solution is a Pareto set, consisting of all clusters that are not worse on both objectives simulta- … The statistical significance evaluation is performed for all clusters in the Pareto set through Monte Carlo … A spatial scan statistic. Comm Statist Theory Meth 1997;26:1481–96. 3 Duczmal L, Canc-ado ALF, Takahashi RHC. …