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Eating competence associated with food consumption and health outcomes among Br...
Queiroz, Fabiana Lopes Nalon de; Nakano, Eduardo Yoshio; Botelho, Raquel Braz Assunção; Ginani, Verônica Cortez; Cançado, André Luiz FernandesThis study aimed to associate Eating Competence (EC) with food consumption and health outcomes in the Brazilian adult population. Researchers developed a questionnaire to associate EC with sociodemographic information, health outcomes, and food consumption. Data on body weight and height was referred to by participants in the questionnaire, and body mass index (BMI) was calculated and classified. A question to ...
A weighted non-connectivity penalty for detection and inference of irregularly ...
Duarte, Anderson Ribeiro; Silva, Spencer Barbosa da; Oliveira, Fernando Luiz Pereira de; Ribeiro, Marcelo Carlos; Cançado, André Luiz FernandesMethods for the detection and inference of irregularly shaped geographic clusters with count data are important tools in disease surveillance and epidemiology. Recently, several methods were developed which combine Kulldorff’s Spatial Scan Statistic with some penalty function to control the excessive freedom of shape of spatial clusters. Different penalty functions were conceived based on the cluster geometric ...
Penalized likelihood and multi-objective spatial scans for the detection and in...
Cançado, André Luiz Fernandes; Duarte, Anderson Ribeiro; Duczmal, Luiz Henrique; Ferreira Neto, Sabino José; Fonseca, Carlos M.; Gontijo, Eliane DiasBackground: 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 spatial scan statistics have been used to control the excessive freedom of the shape of clusters. Penalty functions based on cluster geometry and non-connectivity have been pro...
Nonparametric intensity bounds for the delineation of spatial clusters
Oliveira, Fernando Luiz Pereira de; Duczmal, Luiz Henrique; Cançado, André Luiz Fernandes; Tavares, RicardoThe authors were partially supported by the Brazilian institutions CAPES, CNPq and Fapemig.; 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 the most likely disease cluster produced by any given method, like SaTScan, for ...
Penalized likelihood and multi-objective spatial scans for the detection and in...
Cançado, André Luiz Fernandes; Duarte, Anderson Ribeiro; Duczmal, Luiz Henrique; Ferreira, Sabino José; Fonseca, Carlos M.; Gontijo, Eliane DiasBackground: Irregularly shape d 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 spatial scan statistics have been used to control the excessive freedom of the shape of clusters . Penalty functions based on cluster geometry and non-connectivity have been ...
Nonparametric intensity bounds for the delineation of spatial clusters.
Oliveira, Fernando Luiz Pereira de; Duczmal, Luiz Henrique; Cançado, André Luiz Fernandes; Tavares, RicardoBackground: 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 the most likely disease cluster produced by any given method, like SaTScan, for the detection and inference of spatial clusters in a map divided into areas; if this cluster ...