{"id":14043,"date":"2026-05-12T09:39:56","date_gmt":"2026-05-12T07:39:56","guid":{"rendered":"https:\/\/www.bordeaux-population-health.center\/?p=14043"},"modified":"2026-05-12T09:39:56","modified_gmt":"2026-05-12T07:39:56","slug":"3-questions-a-denis-rustand-sur-son-livre-bayesian-survival-longitudinal-and-joint-models-with-inla","status":"publish","type":"post","link":"https:\/\/www.bordeaux-population-health.center\/fr\/3-questions-a-denis-rustand-sur-son-livre-bayesian-survival-longitudinal-and-joint-models-with-inla\/","title":{"rendered":"3 questions \u00e0 Denis Rustand sur son livre : Bayesian Survival, Longitudinal, and Joint Models with INLA"},"content":{"rendered":"<h3 style=\"text-align: center;\"><strong>Pour la parution de son premier livre, Denis Rustand, chercheur en biostatistique<br \/>\nau sein de l\u2019\u00e9quipe BIOSTAT-BPH,<br \/>\n<\/strong><strong>r\u00e9pond \u00e0 nos questions autour de cet ouvrage consacr\u00e9 \u00e0 une m\u00e9thode innovante<br \/>\ndans le domaine de la statistique<\/strong><\/h3>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<div id=\"attachment_14044\" style=\"width: 1034px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-14044\" class=\"wp-image-14044 size-large\" src=\"https:\/\/www.bordeaux-population-health.center\/wp-content\/uploads\/2026\/05\/bandeau-web-12-1024x310.png\" alt=\"\" width=\"1024\" height=\"310\" srcset=\"https:\/\/www.bordeaux-population-health.center\/wp-content\/uploads\/2026\/05\/bandeau-web-12-1024x310.png 1024w, https:\/\/www.bordeaux-population-health.center\/wp-content\/uploads\/2026\/05\/bandeau-web-12-300x91.png 300w, https:\/\/www.bordeaux-population-health.center\/wp-content\/uploads\/2026\/05\/bandeau-web-12-768x233.png 768w, https:\/\/www.bordeaux-population-health.center\/wp-content\/uploads\/2026\/05\/bandeau-web-12-1536x465.png 1536w, https:\/\/www.bordeaux-population-health.center\/wp-content\/uploads\/2026\/05\/bandeau-web-12-2048x621.png 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><p id=\"caption-attachment-14044\" class=\"wp-caption-text\">photo par Gautier Dufau<\/p><\/div>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>Denis Rustand est chercheur en biostatistique au sein de l&rsquo;\u00e9quipe BIOSTAT du BPH, dont les recherches portent sur le d\u00e9veloppement de m\u00e9thodes bay\u00e9siennes rapides et flexibles pour la mod\u00e9lisation conjointe de donn\u00e9es longitudinales et de survie complexes.<\/p>\n<p>Apr\u00e8s 4 ann\u00e9es de collaboration au sein du groupe BAYESCOMP \u00e0 KAUST, Denis Rustand s\u2019est entour\u00e9 de ses coll\u00e8gues aux expertises compl\u00e9mentaires pour r\u00e9aliser son livre :<\/p>\n<ul>\n<li>H\u00e5vard Rue, directeur de BAYESCOMP, cr\u00e9ateur de la m\u00e9thode INLA, dont les travaux de renomm\u00e9e mondiale ont r\u00e9volutionn\u00e9 la statistique bay\u00e9sienne computationnelle.<\/li>\n<li>Janet van Niekerk, professeure associ\u00e9e \u00e0 l&rsquo;Universit\u00e9 de Pretoria, pour son expertise en analyse de survie complexe et sa contribution \u00e0 des am\u00e9liorations de l&rsquo;algorithme INLA.<\/li>\n<li>Elias Teixeira Krainski, chercheur au sein de BAYESCOMP et expert en statistiques spatiales, qui a permis d&rsquo;int\u00e9grer l&rsquo;h\u00e9t\u00e9rog\u00e9n\u00e9it\u00e9 g\u00e9ographique et spatiale dans les mod\u00e8les.<\/li>\n<\/ul>\n<p><em>Bayesian Survival, Longitudinal, and Joint Models with INLA<\/em> est donc un ouvrage cl\u00e9, qui pr\u00e9sente des outils pouvant \u00eatre directement utilis\u00e9s pour exploiter les donn\u00e9es des vastes cohortes et des essais cliniques \u00e9tudi\u00e9s au BPH. Permettant ainsi de mieux mod\u00e9liser la dynamique des maladies, g\u00e9rer des donn\u00e9es manquantes et ouvrir la voie \u00e0 la m\u00e9decine personnalis\u00e9e gr\u00e2ce \u00e0 la pr\u00e9diction dynamique des risques cliniques en temps r\u00e9el pour un patient donn\u00e9.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<h3 style=\"text-align: center;\"><span style=\"color: #33cccc;\"><b>Qu\u2019est-ce qui, dans votre parcours, vous a amen\u00e9 \u00e0 \u00e9crire ce livre ?<\/b><\/span><\/h3>\n<h3 style=\"text-align: center;\"><\/h3>\n<p>L&rsquo;id\u00e9e d&rsquo;\u00e9crire cet ouvrage s&rsquo;inscrit dans la continuit\u00e9 directe de mon parcours de recherche. J&rsquo;ai r\u00e9alis\u00e9 ma th\u00e8se en sant\u00e9 publique, biostatistique ici, \u00e0 l&rsquo;Universit\u00e9 de Bordeaux, o\u00f9 j\u2019ai travaill\u00e9 sur le d\u00e9veloppement de mod\u00e8les dits \u00ab\u00a0conjoints\u00a0\u00bb pour analyser simultan\u00e9ment l&rsquo;\u00e9volution de biomarqueurs et des donn\u00e9es de survie en oncologie. J&rsquo;ai alors \u00e9t\u00e9 rapidement confront\u00e9 \u00e0 un obstacle : avec les m\u00e9thodes d&rsquo;estimation traditionnelles, les temps de calcul deviennent tr\u00e8s importants d\u00e8s que l&rsquo;on complexifie un peu les mod\u00e8les pour les rendre plus r\u00e9alistes.<\/p>\n<p>Pour surmonter cela, j&rsquo;ai rejoint en post-doc un groupe de recherche sp\u00e9cialis\u00e9 en calcul bay\u00e9sien \u00e0 l&rsquo;Universit\u00e9 KAUST en Arabie Saoudite, sous la direction du professeur H\u00e5vard Rue, le cr\u00e9ateur de la m\u00e9thodologie INLA (Integrated Nested Laplace Approximations). J&rsquo;ai pu y associer mon expertise en biostatistique th\u00e9orique au calcul bay\u00e9sien \u00e0 haute performance, ce qui a men\u00e9 \u00e0 la cr\u00e9ation du package R INLAjoint.<br \/>\nL&rsquo;\u00e9criture de ce livre s&rsquo;est impos\u00e9e naturellement : il fallait fournir \u00e0 la communaut\u00e9 scientifique non seulement cet outil logiciel, mais aussi le socle th\u00e9orique et le guide pratique n\u00e9cessaires pour s&rsquo;en emparer.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<h3 style=\"text-align: center;\"><span style=\"color: #33cccc;\"><b>Est-ce que ce livre vient r\u00e9pondre \u00e0 des besoins que vous auriez identifi\u00e9s dans le domaine des statistiques et de la sant\u00e9 publique ?<br \/>\n<strong>Si oui, lesquels, et pourquoi avoir opt\u00e9 pour le format livre ?<\/strong><\/b><\/span><\/h3>\n<h3 style=\"text-align: center;\"><\/h3>\n<p>Absolument. Aujourd&rsquo;hui, la recherche biom\u00e9dicale, notamment en \u00e9pid\u00e9miologie et pour les essais cliniques, s&rsquo;appuie sur des donn\u00e9es de plus en plus riches et multidimensionnelles : on suit de multiples biomarqueurs \u00e0 haute fr\u00e9quence au cours du temps tout en observant la survenue de plusieurs \u00e9v\u00e9nements cliniques (d\u00e9c\u00e8s, rechutes, etc.).<\/p>\n<p>Le frein majeur \u00e0 l&rsquo;analyse multivari\u00e9e de ces donn\u00e9es n&rsquo;\u00e9tait pas un manque de th\u00e9orie, mais un v\u00e9ritable goulot d&rsquo;\u00e9tranglement informatique. Les chercheurs \u00e9taient souvent contraints de faire un compromis frustrant : utiliser des mod\u00e8les simplifi\u00e9s et moins r\u00e9alistes cliniquement, uniquement parce qu&rsquo;ils \u00e9taient \u00ab\u00a0calculables\u00a0\u00bb. La m\u00e9thodologie INLA l\u00e8ve cette barri\u00e8re en offrant des approximations bay\u00e9siennes \u00e0 la fois ultra-rapides et extr\u00eamement pr\u00e9cises.<\/p>\n<p>Nous avons opt\u00e9 pour le format livre car un simple \u00ab\u00a0manuel d&rsquo;utilisation\u00a0\u00bb d&rsquo;un logiciel ne suffisait pas. Il fallait construire un pont entre la th\u00e9orie statistique de pointe et les applications cliniques concr\u00e8tes, en guidant le lecteur pas \u00e0 pas sur la mani\u00e8re de construire ces mod\u00e8les (longitudinaux, survie, mod\u00e8les conjoints, et m\u00eame spatiaux), tout en fournissant des codes R enti\u00e8rement reproductibles.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<h3 style=\"text-align: center;\"><span style=\"color: #33cccc;\"><b>Qu\u2019esp\u00e9rez-vous transmettre \u00e0 travers cet ouvrage, et qui en est la cible ?<\/b><\/span><\/h3>\n<p>L&rsquo;ouvrage s&rsquo;adresse \u00e0 toute personne amen\u00e9e \u00e0 analyser des mesures r\u00e9p\u00e9t\u00e9es et des donn\u00e9es de survie, telles que les \u00e9tudiants de master et doctorat, les chercheurs et les statisticiens appliqu\u00e9s dans les domaines de la biostatistique, de l&rsquo;\u00e9pid\u00e9miologie et de la sant\u00e9 publique.<\/p>\n<p>Ce que j&rsquo;esp\u00e8re transmettre, c&rsquo;est avant tout l&rsquo;opportunit\u00e9 de formuler des hypoth\u00e8ses de recherche beaucoup plus ambitieuses. Jusqu&rsquo;\u00e0 pr\u00e9sent, face \u00e0 des m\u00e9thodes d&rsquo;estimation particuli\u00e8rement lourdes, l&rsquo;analyse multivari\u00e9e imposait souvent de faire des compromis m\u00e9thodologiques. En apportant un cadre d&rsquo;estimation radicalement plus performant, cet ouvrage permet de s&rsquo;affranchir de ces verrous.<\/p>\n<p>J&rsquo;esp\u00e8re ainsi donner \u00e0 la communaut\u00e9 l&rsquo;assurance de construire des mod\u00e8les qui \u00e9pousent vraiment la r\u00e9alit\u00e9 biologique et clinique des patients. Et pour que cette transition vers des mod\u00e8les de pointe soit la plus fluide possible, nous avons rendu chaque exemple du livre enti\u00e8rement reproductible gr\u00e2ce \u00e0 nos codes partag\u00e9s en libre acc\u00e8s sur GitHub.<\/p>\n<p>Enfin, dans cette m\u00eame volont\u00e9 de partage et avec l\u2019accord de notre \u00e9diteur, nous proposons une version en ligne du livre, enti\u00e8rement gratuite et accessible.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<div style=\"color: #ee9900; font-weight: bold; display: block; margin-top: 2em;\">En savoir plus<\/div>\n<p>Version en ligne gratuite:<a href=\"http:\/\/rustand.fr\/INLA_book.\"> rustand.fr\/INLA_book.\u00a0<\/a><\/p>\n<p>&nbsp;<\/p>\n<div style=\"color: #ee9900; font-weight: bold; display: block; margin-top: 2em;\">contact<\/div>\n<p><a href=\"mailto:Denis.rustand@u-bordeaux.fr\">Denis.rustand@inserm.fr<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Pour la parution de son premier livre, Denis Rustand, chercheur en biostatistique au sein de l\u2019\u00e9quipe BIOSTAT-BPH, r\u00e9pond \u00e0 nos questions autour de cet ouvrage consacr\u00e9 \u00e0 une m\u00e9thode innovante dans le domaine de la statistique &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Denis Rustand est chercheur en biostatistique au sein de l&rsquo;\u00e9quipe BIOSTAT [&hellip;]<\/p>\n","protected":false},"author":1419,"featured_media":14044,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[38],"tags":[],"class_list":["post-14043","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-focus-fr"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>3 questions \u00e0 Denis Rustand sur son livre : Bayesian Survival, Longitudinal, and Joint Models with INLA | 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