{"id":2609,"date":"2022-04-26T09:18:39","date_gmt":"2022-04-26T09:18:39","guid":{"rendered":"https:\/\/www.epidemiologie.nl\/pre-conference-how-to-build-a-growth-model-in-r\/"},"modified":"2024-07-26T12:42:09","modified_gmt":"2024-07-26T12:42:09","slug":"pre-conference-how-to-build-a-growth-model-in-r","status":"publish","type":"post","link":"https:\/\/www.epidemiologie.nl\/en\/vve-activities\/pre-conference-how-to-build-a-growth-model-in-r\/","title":{"rendered":"Pre conference: How to build a growth model in R"},"content":{"rendered":"<p><strong>Wednesday June 8, 2022<br \/>\n<\/strong>1:30pm-5:00pm<\/p>\n<p>Live at Radboudumc<\/p>\n<p><em>Organization:<br \/>\nMiriam Haaksma (LUMC, dept. of Public Health and Primary Care) Ren\u00e9 Melis (Radboudumc, dept. of Geriatrics)<\/em><\/p>\n<p>Growth modeling is a flexible statistical method which can be used to assess changes in disease\/health trajectories over time. It can also be used to study determinants of these changes. In this hands-on workshop we will provide an introduction of the basic principles of growth modeling, after which we will focus on how to build a growth model in R. We will guide you through the model building process in a step-by-step fashion using example syntax and data, so make sure to bring your own laptop! We will use two modeling approaches: the linear mixed model (LMM) and the structural equation model (SEM).<\/p>\n<p>Would you like to learn more on how to implement these methods in R? Subscribe to this preconference!<\/p>\n<p><em>Please note: the webinar of the VvE Special Interest Group for Growth Modeling from April 21st 2022 and the content of this preconference workshop will partly overlap with the content of our webinars. However, during this workshop there will be more room for experimenting with the model building process in R, for individual guidance, and for more specific questions regarding your own research data and analysis plan.<\/em><\/p>\n<p>For more information about the pre conferences, participation, costs and registration, see: <strong><br \/>\n<a href=\"https:\/\/registratie.radboudumc.nl\/130246\/wiki\/744836\/pre-conference\" target=\"_blank\" rel=\"noopener\">https:\/\/registratie.radboudumc.nl\/130246\/wiki\/744836\/pre-conference<\/a><br \/>\n<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Wednesday June 8, 2022 1:30pm-5:00pm Live at Radboudumc Organization: Miriam Haaksma (LUMC, dept. of Public Health and Primary Care) Ren\u00e9 Melis (Radboudumc, dept. of Geriatrics) Growth modeling is a flexible statistical method which can be used to assess changes in disease\/health trajectories over time. It can also be used to study determinants of these changes. [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[23],"tags":[],"class_list":["post-2609","post","type-post","status-publish","format-standard","hentry","category-vve-activities"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Pre conference: How to build a growth model in R - Vereniging voor Epidemiologie<\/title>\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.epidemiologie.nl\/en\/vve-activities\/pre-conference-how-to-build-a-growth-model-in-r\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pre conference: How to build a growth model in R - Vereniging voor Epidemiologie\" \/>\n<meta property=\"og:description\" content=\"Wednesday June 8, 2022 1:30pm-5:00pm Live at Radboudumc Organization: Miriam Haaksma (LUMC, dept. of Public Health and Primary Care) Ren\u00e9 Melis (Radboudumc, dept. of Geriatrics) Growth modeling is a flexible statistical method which can be used to assess changes in disease\/health trajectories over time. 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