Výsledky vyhledávání - "Duczmal Luiz H"

Akademický článek

Data-driven inference for the spatial scan statistic

Autor: Duczmal Luiz H, Duarte Anderson R, Almeida Alexandre CL, Oliveira Fernando LP, Takahashi Ricardo HC

Publikováno v: International Journal of Health Geographics, Vol 10, Iss 1, p 47 (2011)

Abstract Background Kulldorff's spatial scan statistic for aggregated area maps searches for clusters of cases without specifying their size (number of areas) or geographic location in advance. Their statistical significance is tested while adjusting

Externí odkaz: https://doaj.org/article/92d8ef242e4b43b79cd532bcd8af9711

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Akademický článek

Voronoi distance based prospective space-time scans for point data sets: a dengue fever cluster analysis in a southeast Brazilian town

Autor: Takahashi Ricardo HC, Burgarelli Denise, Moreira Gladston JP, Duczmal Luiz H, Magalhães Flávia CO, Bodevan Emerson C

Publikováno v: International Journal of Health Geographics, Vol 10, Iss 1, p 29 (2011)

Abstract Background The Prospective Space-Time scan statistic (PST) is widely used for the evaluation of space-time clusters of point event data. Usually a window of cylindrical shape is employed, with a circular or elliptical base in the space domai

Externí odkaz: https://doaj.org/article/9dd96ca841084deabc06afa99b2953c4

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Akademický článek

Nonparametric intensity bounds for the delineation of spatial clusters

Autor: Cançado André LF, Duczmal Luiz H, Oliveira Fernando LP, Tavares Ricardo

Publikováno v: International Journal of Health Geographics, Vol 10, Iss 1, p 1 (2011)

Abstract Background There is considerable uncertainty in the disease rate estimation for aggregated area maps, especially for small population areas. As a consequence the delineation of local clustering is subject to substantial variation. Consider t

Externí odkaz: https://doaj.org/article/f1cb3f0d6f2e411a9946cb64bf73a03d

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Akademický článek

Penalized likelihood and multi-objective spatial scans for the detection and inference of irregular clusters

Autor: Fonseca Carlos M, Ferreira Sabino J, Duczmal Luiz H, Duarte Anderson R, Cançado André LF, Gontijo Eliane CDM

Publikováno v: International Journal of Health Geographics, Vol 9, Iss 1, p 55 (2010)

Abstract Background Irregularly shaped spatial clusters are difficult to delineate. A cluster found by an algorithm often spreads through large portions of the map, impacting its geographical meaning. Penalized likelihood methods for Kulldorff's spat

Externí odkaz: https://doaj.org/article/28edb1db267c46adb4f20434a6e7b26b

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