{"id":33802,"date":"1998-01-01T00:00:00","date_gmt":"1998-01-01T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/inferencia-estadistica-en-modelos-de-censura-proporcional\/"},"modified":"1998-01-01T00:00:00","modified_gmt":"1998-01-01T00:00:00","slug":"inferencia-estadistica-en-modelos-de-censura-proporcional","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/matematicas\/inferencia-estadistica-en-modelos-de-censura-proporcional\/","title":{"rendered":"Inferencia estadistica en modelos de censura proporcional."},"content":{"rendered":"<h2>Tesis doctoral de <strong>  U\u00f1a Alvarez Jacobo De <\/strong><\/h2>\n<p>Un fen\u00f3meno que aparece \u00edntimamente ligado al an\u00e1lisis de tiempos de vida es el de la censura. Una observaci\u00f3n censurada (por la derecha) es un tiempo registrado al cual se sabe excede el tiempo real. Tal situaci\u00f3n ocurre cuando, por ejemplo, en un estudio cl\u00ednico se pierde el seguimiento de un paciente al abandonar este el hospital.  el modelo general de censura aleatoria es un marco en el cual la estimaci\u00f3n consistente de cantidades de inter\u00e9s viene dada por el famoso estimador l\u00edmite-producto de kaplan-meier (1958). Tal estimaci\u00f3n pierde su propiedad de eficiencia cuando el modelo real resulta ser el introducido por kociol-green (1976). Es este modelo (conocido como el de censura proporcional, o de las razones de fallo proporcionales) el objeto de nuestro trabajo, que incluye un estudio asint\u00f3tico de estimadores de cantidades de relevancia tanto cuando se estudia el tiempo de vida de un grupo de sujetos como cuando el inter\u00e9s se centra en la comparaci\u00f3n de dos o m\u00e1s grupos (en este segundo caso se introducen, por tanto, variables explicativas). El an\u00e1lisis contempla propiedades de consistencia, normalidad asint\u00f3tica, leyes del logaritmo iterado y estimaci\u00f3n de la varianza l\u00edmite de los estimadores propuestos (necesaria para la computaci\u00f3n de bandas de confianza). En el contexto de la estimaci\u00f3n no param\u00e9trica de curvas, se consideran y analizan estimadores de las funciones de densidad, distribuci\u00f3n, raz\u00f3n de fallo y raz\u00f3n de fallo acumulada y se dise\u00f1an y estudian mecanismos convenientes de selecci\u00f3n del par\u00e1metro de suavizaci\u00f3n. Las t\u00e9cnicas inferenciales son ilustradas mediante aplicaciones a bases de datos cl\u00ednicos reales.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Inferencia estadistica en modelos de censura proporcional.<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Inferencia estadistica en modelos de censura proporcional. <\/li>\n<li><strong>Autor:<\/strong>\u00a0  U\u00f1a Alvarez Jacobo De <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Santiago de compostela<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 01\/01\/1998<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li>Wenceslao Gonz\u00e1lez Manteiga<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Jos\u00e9 Manuel Prada Sanchez <\/li>\n<li>Noel Veraverbeke (vocal)<\/li>\n<li>Winfried Stute (vocal)<\/li>\n<li>Ricardo Cao Abad (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de U\u00f1a Alvarez Jacobo De Un fen\u00f3meno que aparece \u00edntimamente ligado al an\u00e1lisis de tiempos de vida es [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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