{"id":3388,"date":"2018-06-05T14:45:13","date_gmt":"2018-06-05T14:45:13","guid":{"rendered":"https:\/\/blog.kolabtree.com\/?p=3388"},"modified":"2023-04-11T10:54:25","modified_gmt":"2023-04-11T10:54:25","slug":"6-essential-applications-of-statistical-analysis","status":"publish","type":"post","link":"https:\/\/www.kolabtree.com\/blog\/fr\/6-essential-applications-of-statistical-analysis\/","title":{"rendered":"6 Application essentielle des statistiques"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_45_1 counter-flat ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\">Table des mati\u00e8res<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" area-label=\"ez-toc-toggle-icon-1\"><label for=\"item-69f29334d10ab\" aria-label=\"Table des mati\u00e8res\"><span style=\"display: flex;align-items: center;width: 35px;height: 30px;justify-content: center;direction:ltr;\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewbox=\"0 0 24 24\" version=\"1.2\" baseprofile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/label><input  type=\"checkbox\" id=\"item-69f29334d10ab\"><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.kolabtree.com\/blog\/fr\/6-essential-applications-of-statistical-analysis\/#Here_Are_the_Top_6_Application_of_Statistics\" title=\"Here Are the Top 6 Application of Statistics\">Here Are the Top 6 Application of Statistics<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.kolabtree.com\/blog\/fr\/6-essential-applications-of-statistical-analysis\/#1_Research_Interpretations_and_Conclusions\" title=\"1. Interpr\u00e9tations et conclusions de la recherche\">1. Interpr\u00e9tations et conclusions de la recherche<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.kolabtree.com\/blog\/fr\/6-essential-applications-of-statistical-analysis\/#2_Meta-Analysis_of_Literature_Reviews\" title=\"2. M\u00e9ta-analyse des revues de la litt\u00e9rature\">2. M\u00e9ta-analyse des revues de la litt\u00e9rature<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.kolabtree.com\/blog\/fr\/6-essential-applications-of-statistical-analysis\/#3_Clinical_Trial_Design\" title=\"3. Conception de l&#039;essai clinique\">3. Conception de l'essai clinique<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.kolabtree.com\/blog\/fr\/6-essential-applications-of-statistical-analysis\/#4_Designing_Surveys\" title=\"4. Conception des enqu\u00eates\u00a0\">4. Conception des enqu\u00eates\u00a0<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.kolabtree.com\/blog\/fr\/6-essential-applications-of-statistical-analysis\/#5_Epidemiological_Studies\" title=\"5. \u00c9tudes \u00e9pid\u00e9miologiques\u00a0\">5. \u00c9tudes \u00e9pid\u00e9miologiques\u00a0<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.kolabtree.com\/blog\/fr\/6-essential-applications-of-statistical-analysis\/#6_Statistical_Modeling\" title=\"6. Mod\u00e9lisation statistique\">6. Mod\u00e9lisation statistique<\/a><\/li><\/ul><\/nav><\/div>\n<p>Le m\u00e9tier de statisticien est l'un des dix emplois qui connaissent la plus forte croissance aux \u00c9tats-Unis. \u00c0 en juger par le rythme auquel le monde g\u00e9n\u00e8re et collecte des donn\u00e9es, il n'est pas surprenant que l'expertise de ceux qui peuvent analyser efficacement ces donn\u00e9es soit tr\u00e8s demand\u00e9e et qu'il s'agisse de l'application des statistiques. <a href=\"https:\/\/www.kolabtree.com\/services\/statistical-analysis\/?utm_source=Blog_6Applications\">Fr<\/a> experts help collect, study and extract relevant information from vast and complex data. This information is then applied to validate and further <a href=\"https:\/\/www.kolabtree.com\/blog\/fr\/ensuring-reproducibility-in-ai-driven-research-how-freelance-experts-can-help-in-biotech-and-healthcare\/\">recherche<\/a>, make sound business decisions and drive public initiatives.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Here_Are_the_Top_6_Application_of_Statistics\"><\/span>Here Are the Top 6 Application of Statistics<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><span class=\"ez-toc-section\" id=\"1_Research_Interpretations_and_Conclusions\"><\/span>1. Interpr\u00e9tations et conclusions de la recherche<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Les statistiques constituent une partie importante de la plupart des sciences. Elles aident les chercheurs \u00e0 tester des hypoth\u00e8ses, \u00e0 confirmer (ou \u00e0 rejeter) des th\u00e9ories et \u00e0 parvenir \u00e0 des conclusions fiables. Les donn\u00e9es g\u00e9n\u00e9r\u00e9es par les exp\u00e9riences et les \u00e9tudes ne sont jamais simples - il faut tenir compte du caract\u00e8re al\u00e9atoire et de l'incertitude, \u00e9liminer les co\u00efncidences et parvenir aux r\u00e9sultats les plus pr\u00e9cis. L'analyse statistique permet de r\u00e9duire ou d'\u00e9liminer les erreurs afin que les chercheurs puissent tirer en toute confiance des conclusions qui orienteront ensuite les recherches ult\u00e9rieures.<\/p>\n<div id=\"attachment_3453\" style=\"width: 469px\" class=\"wp-caption alignnone\"><img aria-describedby=\"caption-attachment-3453\" decoding=\"async\" loading=\"lazy\" class=\"wp-image-3453 size-full\" src=\"https:\/\/blog.kolabtree.com\/wp-content\/uploads\/2018\/06\/correlation-2.png\" alt=\"\" width=\"459\" height=\"185\" srcset=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2018\/06\/correlation-2.png 459w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2018\/06\/correlation-2-300x121.png 300w\" sizes=\"(max-width: 459px) 100vw, 459px\" \/><p id=\"caption-attachment-3453\" class=\"wp-caption-text\">Cr\u00e9dit photo : XKCD<\/p><\/div>\n<h3><span class=\"ez-toc-section\" id=\"2_Meta-Analysis_of_Literature_Reviews\"><\/span><strong>2. M\u00e9ta-analyse des revues de la litt\u00e9rature<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Avant qu'un chercheur ou un scientifique ne se lance dans une nouvelle recherche, il est d'usage de proc\u00e9der \u00e0 un examen complet de la situation. <a href=\"https:\/\/www.kolabtree.com\/services\/literature-search\/?utm_source=Blog_6Applications\">recherche documentaire<\/a> de toutes les informations publi\u00e9es disponibles sur un sujet sp\u00e9cifique. Cependant, il est toujours difficile de tirer une conclusion d\u00e9finitive de plusieurs \u00e9tudes, en particulier si celles-ci suivent des m\u00e9thodologies de recherche diff\u00e9rentes, ont \u00e9t\u00e9 publi\u00e9es dans des revues diff\u00e9rentes (ce qui entra\u00eene un biais de publication) ou s'\u00e9talent sur une large p\u00e9riode. Une analyse statistique de ces \u00e9tudes permet d'extraire la v\u00e9rit\u00e9 commune qui sous-tend toutes ces \u00e9tudes, ou de d\u00e9couvrir un mod\u00e8le ou une relation cach\u00e9s.<\/p>\n<div id=\"attachment_3454\" style=\"width: 359px\" class=\"wp-caption alignnone\"><img aria-describedby=\"caption-attachment-3454\" decoding=\"async\" loading=\"lazy\" class=\"wp-image-3454 size-full\" src=\"https:\/\/blog.kolabtree.com\/wp-content\/uploads\/2018\/06\/meta-analysis.png\" alt=\"\" width=\"349\" height=\"318\" srcset=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2018\/06\/meta-analysis.png 349w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2018\/06\/meta-analysis-300x273.png 300w\" sizes=\"(max-width: 349px) 100vw, 349px\" \/><p id=\"caption-attachment-3454\" class=\"wp-caption-text\">Cr\u00e9dit photo : XKCD<\/p><\/div>\n<h3><span class=\"ez-toc-section\" id=\"3_Clinical_Trial_Design\"><\/span><strong>3. Conception de l'essai clinique<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>L'une des applications les plus importantes de l'analyse statistique consiste \u00e0 concevoir <a href=\"https:\/\/www.kolabtree.com\/find-an-expert\/subject\/clinical-trials?utm_source=Blog_6Applications\">les essais cliniques<\/a>. Lorsqu'un nouveau m\u00e9dicament ou traitement est d\u00e9couvert, il doit d'abord \u00eatre test\u00e9 sur un ou plusieurs groupes de personnes afin de comprendre son efficacit\u00e9 et sa s\u00e9curit\u00e9. Un essai clinique implique la s\u00e9lection d'une population\/taille d'\u00e9chantillon, la d\u00e9finition de la p\u00e9riode de suivi du traitement, la conception des phases et la s\u00e9lection des param\u00e8tres qui permettront de d\u00e9terminer l'efficacit\u00e9 du traitement et s'il est meilleur qu'un traitement existant. <a href=\"https:\/\/www.kolabtree.com\/find-an-expert\/subject\/biostatistics?utm_source=Blog_6Applications\">Biostatisticiens<\/a> peut se charger d'effectuer une analyse statistique de l'\u00e9tude, en aidant non seulement \u00e0 la concevoir mais aussi \u00e0 l'analyser et \u00e0 en d\u00e9terminer les r\u00e9sultats.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"4_Designing_Surveys\"><\/span><strong>4. Conception des enqu\u00eates\u00a0<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Les personnes qui vont \u00e0 la salle de sport m\u00e8nent-elles une vie plus saine et plus heureuse ? Dans quelle mesure la ville de New York est-elle s\u00fbre ? Quelle est l'efficacit\u00e9 de votre programme de sensibilisation au VIH ? Autant de questions auxquelles il est impossible de r\u00e9pondre sans l'aide des statistiques. Les enqu\u00eates n\u00e9cessitent une conception et une mise en \u0153uvre minutieuses, des consid\u00e9rations sur le format de l'enqu\u00eate, la prise en compte des biais et de la fatigue, etc. Les donn\u00e9es collect\u00e9es \u00e0 partir d'enqu\u00eates doivent \u00eatre soigneusement \u00e9tudi\u00e9es par des experts en analyse statistique qui utilisent \u00e9galement leur propre jugement et leur exp\u00e9rience pour tirer les informations les plus significatives d'une enqu\u00eate. Gr\u00e2ce aux enqu\u00eates, les gouvernements peuvent d\u00e9terminer l'efficacit\u00e9 d'une initiative, les entreprises peuvent comprendre la r\u00e9action \u00e0 un produit particulier et les sp\u00e9cialistes des sciences sociales peuvent effectuer des recherches quantitatives.<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-3455 size-full\" src=\"https:\/\/blog.kolabtree.com\/wp-content\/uploads\/2018\/06\/vadlo.gif\" alt=\"\" width=\"601\" height=\"450\" \/><\/p>\n<h3><span class=\"ez-toc-section\" id=\"5_Epidemiological_Studies\"><\/span><strong>5. \u00c9tudes \u00e9pid\u00e9miologiques\u00a0<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Les \u00e9tudes \u00e9pid\u00e9miologiques permettent de d\u00e9terminer le lien entre la cause et l'effet d'une maladie, notamment lors d'\u00e9pid\u00e9mies. Une analyse statistique consiste \u00e0 identifier la cause la plus probable d'une maladie - par exemple, le lien entre le tabagisme et le cancer du poumon. Ces informations sont utilis\u00e9es pour \u00e9laborer des politiques de sant\u00e9 publique et mettre en \u0153uvre des programmes de soins pr\u00e9ventifs. La visualisation des donn\u00e9es et l'analyse statistique ont \u00e9galement jou\u00e9 un r\u00f4le important dans la compr\u00e9hension de l'\u00e9pid\u00e9mie de VIH\/SIDA. <a href=\"http:\/\/www.nextstrain.org\/ebola?l=clock\">\u00c9pid\u00e9mie d'Ebola<\/a> en Afrique de l'Ouest.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"6_Statistical_Modeling\"><\/span><strong>6. Mod\u00e9lisation statistique<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>La mod\u00e9lisation statistique consiste \u00e0 construire des mod\u00e8les pr\u00e9dictifs bas\u00e9s sur la reconnaissance des formes et la d\u00e9couverte de connaissances. Elle est utilis\u00e9e dans les \u00e9tudes environnementales et g\u00e9ographiques, la pr\u00e9vision des r\u00e9sultats des \u00e9lections, l'analyse de survie des populations, etc. Les m\u00e9t\u00e9orologues utilisent des outils statistiques pour les aider \u00e0 pr\u00e9voir le temps. La fronti\u00e8re entre la mod\u00e9lisation statistique et l'apprentissage automatique est de plus en plus floue - Robert Tibshirani, statisticien \u00e0 Stanford, a qualifi\u00e9 l'apprentissage automatique de \"statistiques glorifi\u00e9es\".<\/p>\n<p>Voici un exemple du mod\u00e8le statistique utilis\u00e9 par The Economist pour pr\u00e9dire les \u00e9lections am\u00e9ricaines de mi-mandat.<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-3456\" src=\"https:\/\/blog.kolabtree.com\/wp-content\/uploads\/2018\/06\/economist.png\" alt=\"\" width=\"550\" height=\"450\" srcset=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2018\/06\/economist.png 800w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2018\/06\/economist-300x245.png 300w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2018\/06\/economist-768x628.png 768w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2018\/06\/economist-168x137.png 168w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2018\/06\/economist-300x245@2x.png 600w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2018\/06\/economist-168x137@2x.png 336w\" sizes=\"(max-width: 550px) 100vw, 550px\" \/><\/p>\n<p>Les statisticiens \u00e9tant \u00e9galement parmi les mieux pay\u00e9s, toutes les organisations ne peuvent pas se permettre de les avoir en interne, \u00e0 plein temps. Les petites entreprises, les organisations \u00e0 but non lucratif, les agences gouvernementales et les d\u00e9fenseurs des droits, les chercheurs et les jeunes pousses externalisent de plus en plus leur travail d'analyse statistique aupr\u00e8s des services suivants <a href=\"https:\/\/www.kolabtree.com\/find-an-expert\/subject\/statistics\" target=\"_blank\" rel=\"noopener\">statisticiens ind\u00e9pendants<\/a>qui peuvent travailler sur des budgets et des d\u00e9lais plus courts.<\/p>","protected":false},"excerpt":{"rendered":"<p>Statistician is one of the top 10 fastest-growing jobs in the US. Going by the rate at which the world is generating and collecting data, it is no surprise that the expertise of those who can effectively analyze this data is in great demand and are application of statistics. Fr experts help collect, study and<\/p>\n<div class=\"read-more\"><a href=\"https:\/\/www.kolabtree.com\/blog\/fr\/6-essential-applications-of-statistical-analysis\/\" title=\"Lire la suite\">Lire la suite<\/a><\/div>","protected":false},"author":12,"featured_media":3458,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[398,304,403,433],"tags":[74,748,749],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.1 (Yoast SEO v20.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>6 Essential Applications of Statistics - Kolabtree Blog<\/title>\n<meta name=\"description\" content=\"Application of statistics have a range: it is used to design clinical trials, interpret research studies, build predictive models, and more.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.kolabtree.com\/blog\/fr\/6-essential-applications-of-statistical-analysis\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"6 Essential Application of Statistics\" \/>\n<meta property=\"og:description\" content=\"Application of statistics have a range: it is used to design clinical trials, interpret research studies, build predictive models, and more.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.kolabtree.com\/blog\/fr\/6-essential-applications-of-statistical-analysis\/\" \/>\n<meta property=\"og:site_name\" content=\"The Kolabtree Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/kolabtree\" \/>\n<meta property=\"article:published_time\" content=\"2018-06-05T14:45:13+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-04-11T10:54:25+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2018\/06\/entrepreneur-1340649_1280.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1280\" \/>\n\t<meta property=\"og:image:height\" content=\"905\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Ramya Sriram\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@kolabtree\" \/>\n<meta name=\"twitter:site\" content=\"@kolabtree\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"Ramya Sriram\" \/>\n\t<meta name=\"twitter:label2\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"6 Essential Applications of Statistics - 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