{"id":4054,"date":"2019-12-09T10:35:59","date_gmt":"2019-12-09T09:35:59","guid":{"rendered":"http:\/\/wp.unil.ch\/esspace\/?p=4054"},"modified":"2019-12-13T09:06:45","modified_gmt":"2019-12-13T08:06:45","slug":"rouzinov-serguei","status":"publish","type":"post","link":"https:\/\/wp.unil.ch\/esspace\/2019\/12\/rouzinov-serguei\/","title":{"rendered":"Rouzinov Serguei"},"content":{"rendered":"<p><strong>Regression-based approach to test missing data mechanisms.<\/strong><\/p>\n<p><!--more--><\/p>\n<p><em>D\u00e9tenteur d\u2019un Master en statistique de l\u2019Universit\u00e9 de Neuch\u00e2tel, Serguei Rouzinov a \u00e9t\u00e9 doctorant (2015-2019) et statisticien (2019) au sein du P\u00f4le de recherche national LIVES \u00e0 l\u2019Universit\u00e9 de Lausanne. Il a soutenu sa th\u00e8se de doctorat le 13 novembre 2019, sous la direction du Professeur Andr\u00e9 Berchtold. Ses principaux int\u00e9r\u00eats de recherche portent sur l\u2019analyse et le traitement des donn\u00e9es manquantes dans des cadres transversaux et longitudinaux, ainsi que sur la mod\u00e9lisation statistique et informatique en sciences sociales. Il travaille actuellement comme sp\u00e9cialiste en informatique et m\u00e9thodes statistiques \u00e0 l\u2019\u00c9tat de Vaud et est charg\u00e9 de cours \u00e0 la Haute \u00e9cole de gestion de Gen\u00e8ve.<\/em><\/p>\n<p>Les donn\u00e9es manquantes sont un important probl\u00e8me en sciences sociales. La connaissance du type des donn\u00e9es manquantes est essentielle pour une analyse appropri\u00e9e des valeurs manquantes. Cette th\u00e8se se concentre sur la gestion des m\u00e9canismes simples et mixtes des donn\u00e9es manquantes et la mani\u00e8re de tester si les donn\u00e9es manquantes sont distribu\u00e9es de mani\u00e8re compl\u00e8tement al\u00e9atoire ou non. Une approche alternative, bas\u00e9e sur un mod\u00e8le de r\u00e9gression et applicable aux donn\u00e9es continues et cat\u00e9gorielles, est d\u00e9velopp\u00e9e afin de tester les m\u00e9canismes des donn\u00e9es manquantes. Elle est compar\u00e9e aux tests les plus usuels couramment utilis\u00e9s pour \u00e9valuer ces m\u00e9canismes.<\/p>\n<p>Plusieurs s\u00e9ries de simulations sont pr\u00e9sent\u00e9es afin de mettre en \u00e9vidence la puissance des approches existantes pour tester les m\u00e9canismes des donn\u00e9es manquantes en fonction de la taille d&rsquo;\u00e9chantillon, du type et de la distribution des donn\u00e9es, du nombre, du type et de la g\u00e9n\u00e9ration des donn\u00e9es manquantes, ainsi que du niveau de corr\u00e9lation entre les variables.<\/p>\n<p>Finalement, une proc\u00e9dure compl\u00e8te du traitement des donn\u00e9es manquantes est propos\u00e9e dans le cadre d&rsquo;une \u00e9tude r\u00e9elle avec des donn\u00e9es transversales et longitudinales de l&rsquo;enqu\u00eate des trajectoires professionnelles.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Regression-based approach to test missing data mechanisms.<\/p>\n","protected":false},"author":163,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_seopress_robots_primary_cat":"","_seopress_titles_title":"","_seopress_titles_desc":"","_seopress_robots_index":"","_uag_custom_page_level_css":"","_EventAllDay":false,"_EventTimezone":"","_EventStartDate":"","_EventEndDate":"","_EventStartDateUTC":"","_EventEndDateUTC":"","_EventShowMap":false,"_EventShowMapLink":false,"_EventURL":"","_EventCost":"","_EventCostDescription":"","_EventCurrencySymbol":"","_EventCurrencyCode":"","_EventCurrencyPosition":"","_EventDateTimeSeparator":"","_EventTimeRangeSeparator":"","_EventOrganizerID":[],"_EventVenueID":[],"_OrganizerEmail":"","_OrganizerPhone":"","_OrganizerWebsite":"","_VenueAddress":"","_VenueCity":"","_VenueCountry":"","_VenueProvince":"","_VenueState":"","_VenueZip":"","_VenuePhone":"","_VenueURL":"","_VenueStateProvince":"","_VenueLat":"","_VenueLng":"","_VenueShowMap":false,"_VenueShowMapLink":false,"footnotes":""},"categories":[19451],"tags":[],"class_list":["post-4054","post","type-post","status-publish","format-standard","category-theses"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false,"hitmag-landscape":false,"hitmag-featured":false,"hitmag-grid":false,"hitmag-list":false,"hitmag-thumbnail":false,"gform-image-choice-sm":false,"gform-image-choice-md":false,"gform-image-choice-lg":false,"mailpoet_newsletter_max":false},"uagb_author_info":{"display_name":"sschlat1","author_link":"https:\/\/wp.unil.ch\/esspace\/author\/sschlat1\/"},"uagb_comment_info":0,"uagb_excerpt":"Regression-based approach to test missing data mechanisms.","_links":{"self":[{"href":"https:\/\/wp.unil.ch\/esspace\/wp-json\/wp\/v2\/posts\/4054","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.unil.ch\/esspace\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wp.unil.ch\/esspace\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wp.unil.ch\/esspace\/wp-json\/wp\/v2\/users\/163"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.unil.ch\/esspace\/wp-json\/wp\/v2\/comments?post=4054"}],"version-history":[{"count":0,"href":"https:\/\/wp.unil.ch\/esspace\/wp-json\/wp\/v2\/posts\/4054\/revisions"}],"wp:attachment":[{"href":"https:\/\/wp.unil.ch\/esspace\/wp-json\/wp\/v2\/media?parent=4054"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wp.unil.ch\/esspace\/wp-json\/wp\/v2\/categories?post=4054"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wp.unil.ch\/esspace\/wp-json\/wp\/v2\/tags?post=4054"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}