{"id":692,"date":"2022-04-25T14:02:20","date_gmt":"2022-04-25T14:02:20","guid":{"rendered":"https:\/\/pages.charlotte.edu\/colloquium\/?p=692"},"modified":"2022-04-25T14:04:09","modified_gmt":"2022-04-25T14:04:09","slug":"friday-april-29-2022-1100-1200-via-zoom%ef%bf%bc","status":"publish","type":"post","link":"https:\/\/pages.charlotte.edu\/colloquium\/blog\/2022\/04\/25\/friday-april-29-2022-1100-1200-via-zoom%ef%bf%bc\/","title":{"rendered":"Friday, April 29, 2022, 11:00-12:00, via Zoom"},"content":{"rendered":"\n<p><strong>Speaker:<\/strong>&nbsp;Matthias Kormaksson, Statistical consultant in the Advanced Methods and Data Science group at Novartis Pharmaceuticals (invited by Michael Grabchak)<\/p>\n\n\n\n<p><strong>Title:<\/strong>&nbsp;Identifying prognostic factors via sequential knockoffs: with application to a large Psoriatic Arthritis clinical trial pool<\/p>\n\n\n\n<p><strong>Abstract:<\/strong>&nbsp;&nbsp;Knockoffs provide a general framework for controlling the false discovery rate when performing variable selection. Much of the Knockoffs literature focuses on theoretical challenges and we recognize a need for bringing some of the current ideas into practice. In this talk we propose a sequential algorithm for generating knockoffs when underlying data consists of both continuous and categorical (factor) variables. Further, we present a heuristic multiple knockoffs approach that offers a practical assessment of how robust the knockoff selection process is for a given data set. We conduct extensive simulations to validate performance of the proposed methodology. Finally, we demonstrate the utility of the methods on a large clinical data pool of more than 2,000 patients with psoriatic arthritis evaluated in 4 clinical trials with an IL-17A inhibitor, secukinumab (Cosentyx), where we determine prognostic factors of a well established clinical outcome. The analyses presented in this paper could provide a wide range of applications to commonly encountered data sets in drug development.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Speaker:&nbsp;Matthias Kormaksson, Statistical consultant in the Advanced Methods and Data Science group at Novartis Pharmaceuticals (invited by Michael Grabchak) Title:&nbsp;Identifying prognostic factors via sequential knockoffs: with application to a large Psoriatic Arthritis clinical trial pool Abstract:&nbsp;&nbsp;Knockoffs provide a general framework for controlling the false discovery rate when performing variable selection. Much of the Knockoffs literature [&hellip;]<\/p>\n","protected":false},"author":2373,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[1],"tags":[],"class_list":["post-692","post","type-post","status-publish","format-standard","hentry","category-spring-2022"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p3kCtT-ba","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/posts\/692","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/users\/2373"}],"replies":[{"embeddable":true,"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/comments?post=692"}],"version-history":[{"count":2,"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/posts\/692\/revisions"}],"predecessor-version":[{"id":694,"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/posts\/692\/revisions\/694"}],"wp:attachment":[{"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/media?parent=692"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/categories?post=692"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/tags?post=692"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}