Correspondencia: Xavi Puig. Servei d’Informació i Estudis. Departament de Salut. Generalitat de Catalunya. Travessera de les Corts, 131-159. Pavelló Ave Maria. 08028 Barcelona. España.
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Departament de Salut. Generalitat de Catalunya. Barcelona. España" "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff1" ] 1 => array:3 [ "entidad" => "Departament d’Estadística. ETSEIB. Universitat Politècnica de Catalunya. Barcelona. España" "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff2" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor1" "etiqueta" => "⁎" "correspondencia" => "Correspondencia: Xavi Puig. Servei d’Informació i Estudis. Departament de Salut. Generalitat de Catalunya. Travessera de les Corts, 131-159. Pavelló Ave Maria. 08028 Barcelona. España." ] ] ] ] "titulosAlternativos" => array:1 [ "en" => array:1 [ "titulo" => "Analysis of mortality time trend using generalized linear models" ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2004-10-22" "fechaAceptado" => "2005-07-25" "PalabrasClave" => array:2 [ "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec16867" "palabras" => array:3 [ 0 => "Tendencias temporales" 1 => "Regresión de Poisson" 2 => "Métodos epidemiológicos" ] ] ] "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Key words" "identificador" => "xpalclavsec16866" "palabras" => array:3 [ 0 => "Time trends" 1 => "Poisson regression" 2 => "Epidemiologic methods" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "es" => array:2 [ "titulo" => "Resumen" "resumen" => "<p class="elsevierStyleSimplePara elsevierViewall">En este trabajo se muestra cómo los modelos lineales generalizados permiten describir eficientemente diferentes patrones de evolución temporal de datos de mortalidad y, a su vez, llevar a cabo una fácil interpretación. Como aplicación práctica se analiza la evolución de la mortalidad por cancer de mama en las mujeres de Cataluña entre 1986 y 2000. De los resultados destaca que la mortalidad por cáncer de mama experimenta un aumento y un posterior descenso para todos los grupos de edad. El año en que se inicia el descenso es más reciente en los grupos de edad mayor.</p>" ] "en" => array:2 [ "titulo" => "Abstract" "resumen" => "<p class="elsevierStyleSimplePara elsevierViewall">In this work it is shown how generalized linear models allow one to describe different patterns of temporary evolution of mortality data, while at the same time allow for an easy interpretation. As a practical application, the evolution of the female breast cancer mortality in Catalonia from 1986 to 2000 is analyzed. Remarkably, the mortality from breast cancer first increases and then decreases for all age groups. Moreover, the year in which the cancer rate starts decreasing is more recent in the older age groups.</p>" ] ] "bibliografia" => array:2 [ "titulo" => "Bibliografía" "seccion" => array:1 [ 0 => array:1 [ "bibliografiaReferencia" => array:18 [ 0 => array:3 [ "identificador" => "bib1" "etiqueta" => "1." "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Análisis edad-período-cohorte de la mortalidad cardiopatía isquémica en España 1965-1985" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:5 [ 0 => "J.R. Banegas" 1 => "J.C. Alberdi" 2 => "F. Rodríguez-Artalejo" 3 => "V. Domínguez" 4 => "J. 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2023 Octubre | 25 | 16 | 41 |
2023 Septiembre | 25 | 16 | 41 |
2023 Agosto | 34 | 16 | 50 |
2023 Julio | 35 | 22 | 57 |
2023 Junio | 32 | 12 | 44 |
2023 Mayo | 19 | 16 | 35 |