{"id":41,"date":"2025-12-12T13:33:23","date_gmt":"2025-12-12T12:33:23","guid":{"rendered":"https:\/\/site.uit.no\/nordicepi-norpen-2026\/?page_id=41"},"modified":"2026-04-20T17:14:49","modified_gmt":"2026-04-20T15:14:49","slug":"pre-conference-workshops","status":"publish","type":"page","link":"https:\/\/site.uit.no\/nordicepi-norpen-2026\/pre-conference-workshops\/","title":{"rendered":"Pre-Conference Workshops"},"content":{"rendered":"\n<h3 class=\"wp-block-heading\">Registration<\/h3>\n\n\n\n<p>We are open, click <a href=\"https:\/\/nettskjema.no\/a\/597196\">here<\/a> to register.<\/p>\n\n\n\n<p>Deadline: 30 April<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">When and where?<\/h3>\n\n\n\n<p><strong>Date:<\/strong> 2 June 2026<br><strong>Time:<\/strong> 13:00\u201317:00<br><strong>Location:<\/strong> UiT The Arctic University of Norway, Troms\u00f8 campus<\/p>\n\n\n\n<p>The university is located close to the city center of Troms\u00f8 and can easily be reached by local buses, with stops at <strong>UiT<\/strong> or <strong>UNN<\/strong>. You can use <a href=\"https:\/\/use.mazemap.com\/#v=1&amp;campusid=5&amp;zlevel=1&amp;center=18.974859,69.681096&amp;zoom=14.2\">MazeMap<\/a> to navigate around the campus.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/site.uit.no\/nordicepi-norpen-2026\/wp-content\/uploads\/sites\/537\/2025\/12\/Labyrinten_UiT__UIT_24933_Foto_Jakob__Bjorvig_Henriksen-1024x683.jpg\" alt=\"\" class=\"wp-image-59\" style=\"aspect-ratio:1.4992888417882142;width:607px;height:auto\" srcset=\"https:\/\/site.uit.no\/nordicepi-norpen-2026\/wp-content\/uploads\/sites\/537\/2025\/12\/Labyrinten_UiT__UIT_24933_Foto_Jakob__Bjorvig_Henriksen-1024x683.jpg 1024w, https:\/\/site.uit.no\/nordicepi-norpen-2026\/wp-content\/uploads\/sites\/537\/2025\/12\/Labyrinten_UiT__UIT_24933_Foto_Jakob__Bjorvig_Henriksen-300x200.jpg 300w, https:\/\/site.uit.no\/nordicepi-norpen-2026\/wp-content\/uploads\/sites\/537\/2025\/12\/Labyrinten_UiT__UIT_24933_Foto_Jakob__Bjorvig_Henriksen-768x512.jpg 768w, https:\/\/site.uit.no\/nordicepi-norpen-2026\/wp-content\/uploads\/sites\/537\/2025\/12\/Labyrinten_UiT__UIT_24933_Foto_Jakob__Bjorvig_Henriksen-1536x1025.jpg 1536w, https:\/\/site.uit.no\/nordicepi-norpen-2026\/wp-content\/uploads\/sites\/537\/2025\/12\/Labyrinten_UiT__UIT_24933_Foto_Jakob__Bjorvig_Henriksen-2048x1366.jpg 2048w, https:\/\/site.uit.no\/nordicepi-norpen-2026\/wp-content\/uploads\/sites\/537\/2025\/12\/Labyrinten_UiT__UIT_24933_Foto_Jakob__Bjorvig_Henriksen-360x240.jpg 360w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<div style=\"height:34px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Workshops<\/h2>\n\n\n\n<p>The following three pre-conference workshops will be held in parallel: <\/p>\n\n\n\n<div data-wp-context=\"{ &quot;autoclose&quot;: false, &quot;accordionItems&quot;: [] }\" data-wp-interactive=\"core\/accordion\" role=\"group\" class=\"wp-block-accordion is-layout-flow wp-block-accordion-is-layout-flow\">\n<div data-wp-class--is-open=\"state.isOpen\" data-wp-context=\"{ &quot;id&quot;: &quot;accordion-item-1&quot;, &quot;openByDefault&quot;: false }\" data-wp-init=\"callbacks.initAccordionItems\" data-wp-on-window--hashchange=\"callbacks.hashChange\" class=\"wp-block-accordion-item is-layout-flow wp-block-accordion-item-is-layout-flow\">\n<h3 class=\"wp-block-accordion-heading has-medium-font-size\"><button aria-expanded=\"false\" aria-controls=\"accordion-item-1-panel\" data-wp-bind--aria-expanded=\"state.isOpen\" data-wp-on--click=\"actions.toggle\" data-wp-on--keydown=\"actions.handleKeyDown\" id=\"accordion-item-1\" type=\"button\" class=\"wp-block-accordion-heading__toggle\"><span class=\"wp-block-accordion-heading__toggle-title\"><strong>Target trial emulation for causal inference in observational studies <\/strong> <mark style=\"background-color:#ffffff\" class=\"has-inline-color has-white-color\"><\/mark><br><em><mark style=\"background-color:#E5E5E5\" class=\"has-inline-color has-accent-color\">(Full capacity reached)<\/mark><\/em><\/span><span class=\"wp-block-accordion-heading__toggle-icon\" aria-hidden=\"true\">+<\/span><\/button><\/h3>\n\n\n\n<div inert aria-labelledby=\"accordion-item-1\" data-wp-bind--inert=\"!state.isOpen\" id=\"accordion-item-1-panel\" role=\"region\" class=\"wp-block-accordion-panel is-layout-flow wp-block-accordion-panel-is-layout-flow\">\n<p><strong><u>Session Responsibles:<\/u><\/strong><\/p>\n\n\n\n<p>Leader(s): <em>Yu-Han Chiu<\/em><\/p>\n\n\n\n<p>Co-leader(s): <em>Shuyuan Yang<\/em><\/p>\n\n\n\n<p>Coordinator(s): <em>Therese Haugdahl N\u00f8st<\/em><\/p>\n\n\n\n<p><strong><u>Short Description:<\/u><\/strong><\/p>\n\n\n\n<p>This pre-conference course introduces the target trial emulation framework, a structured approach for drawing causal inferences from observational data by explicitly designing the study as if it were a randomized trial. Participants will learn how to specify the protocol of a hypothetical target trial and then emulate that protocol using real-world data.<\/p>\n\n\n\n<p>Through applied examples and interactive discussion, the course will highlight common sources of bias in observational research (e.g., immortal time bias, selection bias, and time-varying confounding) and demonstrate how careful alignment between design and analysis can mitigate these threats. We will also discuss practical implementation strategies using longitudinal data.<\/p>\n\n\n\n<p>The course is designed for clinical researchers, epidemiologists, biostatisticians, and data scientists seeking to strengthen the rigor and transparency of causal inference in real-world evidence research.<br><br><strong><u>Learning Outcomes:<\/u><\/strong><\/p>\n\n\n\n<p>By the end of the session, participants will be able to:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Formulate a clearly defined causal question in target trial terms;<\/li>\n\n\n\n<li>Translate that question into an explicit trial protocol; and<\/li>\n\n\n\n<li>Identify key design and analytic decisions necessary to validly estimate causal effects from observational data.<\/li>\n<\/ol>\n<\/div>\n<\/div>\n\n\n\n<div data-wp-class--is-open=\"state.isOpen\" data-wp-context=\"{ &quot;id&quot;: &quot;accordion-item-2&quot;, &quot;openByDefault&quot;: false }\" data-wp-init=\"callbacks.initAccordionItems\" data-wp-on-window--hashchange=\"callbacks.hashChange\" class=\"wp-block-accordion-item is-layout-flow wp-block-accordion-item-is-layout-flow\">\n<h3 class=\"wp-block-accordion-heading has-medium-font-size\"><button aria-expanded=\"false\" aria-controls=\"accordion-item-2-panel\" data-wp-bind--aria-expanded=\"state.isOpen\" data-wp-on--click=\"actions.toggle\" data-wp-on--keydown=\"actions.handleKeyDown\" id=\"accordion-item-2\" type=\"button\" class=\"wp-block-accordion-heading__toggle\"><span class=\"wp-block-accordion-heading__toggle-title\"><strong>Creating treatment episodes of medications using the PRE2DUP method &#8211; arranged by NORPEN<\/strong><\/span><span class=\"wp-block-accordion-heading__toggle-icon\" aria-hidden=\"true\">+<\/span><\/button><\/h3>\n\n\n\n<div inert aria-labelledby=\"accordion-item-2\" data-wp-bind--inert=\"!state.isOpen\" id=\"accordion-item-2-panel\" role=\"region\" class=\"wp-block-accordion-panel is-layout-flow wp-block-accordion-panel-is-layout-flow\">\n<p><strong><u>Session Responsibles:<\/u><\/strong><\/p>\n\n\n\n<p>Leader(s) \u2013 Speaker(s): <em>Heidi Taipale <\/em>and<em> Pia Vattulainen<\/em><\/p>\n\n\n\n<p>Coordinator(s):<em> Nhung Trinh <\/em>and<em> Jacqueline Cohen<\/em><\/p>\n\n\n\n<p>Assistant with R practical:<em> Jinmei Chen<\/em><\/p>\n\n\n\n<p><strong><u>Short Description:<\/u><\/strong><\/p>\n\n\n\n<p><em>PRE2DUP<\/em> is an advanced method for generating drug use periods from drug purchases and <em>PRE2DUP<\/em><em>\u2011<\/em><em>R<\/em> is the new open-source R-implementation of it. PRE2DUP-R estimates drug use periods from drug purchases, based on dispensed amount and sliding average of daily dose. It utilizes package-level parameters, hospital care periods and personal purchase regularity over time. PRE2DUP-R can be applied to all medications, any drug form and different dispensing regulations.<\/p>\n\n\n\n<p>A key requirement for using PRE2DUP\u2011R is the construction of package\u2011level parameters\u2014often the main challenge when applying the method. The course includes short presentations introducing the PRE2DUP\u2011R and package-level parameters, followed by hands\u2011on exercises. Participants will work in small groups (5\u201310 people) to design package\u2011level parameters, run the PRE2DUP\u2011R program in R, troubleshoot common errors, and explore advanced features. Exercises will use simulated Nordic register\u2011based data. Each group will present their solutions to the full group.<\/p>\n\n\n\n<p><strong><u>Learning Outcome(s):<\/u><\/strong><\/p>\n\n\n\n<p>By the end of the session, participants will learn:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>The fundamentals of parameter design;<\/li>\n\n\n\n<li>How to apply these parameters in practice; and<\/li>\n\n\n\n<li>How to approach special cases and troubleshooting scenarios.<\/li>\n<\/ol>\n\n\n\n<p><strong><u>Requirement(s):<\/u><\/strong><\/p>\n\n\n\n<p>Participants should have a basic understanding of pharmacoepidemiology and\/or Nordic prescribed drug register data.<\/p>\n\n\n\n<p>A <em>laptop with R and RStudio installed<\/em> is required. Participants should also install the R packages:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><em>devtools<\/em> from CRAN<\/li>\n\n\n\n<li><em>PRE2DUP-R<\/em> from GitHub<\/li>\n<\/ul>\n\n\n\n<p>Installing instructions: <a href=\"https:\/\/piavat.github.io\/PRE2DUP-R\/articles\/introduction.html\">https:\/\/piavat.github.io\/PRE2DUP-R\/articles\/introduction.html<\/a><\/p>\n\n\n\n<p>Throughout the course, participants will have an excellent opportunity to receive guidance directly from the developers of PRE2DUP and PRE2DUP\u2011R.<\/p>\n\n\n\n<p><strong>Pre<\/strong><strong>\u2011<\/strong><strong>reading: Introduction to PRE2DUP-R<\/strong><\/p>\n\n\n\n<p><a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/41689954\">https:\/\/pubmed.ncbi.nlm.nih.gov\/41689954<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/piavat.github.io\/PRE2DUP-R\/index.html\">https:\/\/piavat.github.io\/PRE2DUP-R\/index.html<\/a><\/p>\n\n\n\n<p><strong><u>Program<\/u><\/strong>:<\/p>\n\n\n\n<p><strong>13:00-13.15<\/strong>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <strong>Presentation 1: Brief introduction to basic concepts of PRE2DUP<\/strong><strong>\u2011<\/strong><strong>R<\/strong><br><em>Pia Vattulainen<\/em><\/p>\n\n\n\n<p><strong>13:15-13.30<\/strong>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <strong>Presentation 2: Basics of package<\/strong><strong>\u2011<\/strong><strong>level parameter design<\/strong><br>&nbsp;<em>Heidi Taipale<\/em><\/p>\n\n\n\n<p><strong>13:30-14:30<\/strong>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <strong>Group Work 1, followed by review session:<\/strong><\/p>\n\n\n\n<p>Designing package parameters for specific drugs or drug classes<\/p>\n\n\n\n<p><strong>14:30-14:45<\/strong>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <strong>Coffee Break<\/strong><\/p>\n\n\n\n<p><strong>14:45-15:00<\/strong>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <strong>Presentation 3: How to run PRE2DUP<\/strong><strong>\u2011<\/strong><strong>R and check your results<\/strong><br>&nbsp;<em>Pia Vattulainen<\/em><\/p>\n\n\n\n<p><strong>15:00-16:00<\/strong>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <strong>Group Work 2, followed by review session:<\/strong><\/p>\n\n\n\n<p><strong>&nbsp;<\/strong>Hands on running PRE2DUP-R, identifying and solving issues and exploring special features of PRE2DUP-R<\/p>\n<\/div>\n<\/div>\n\n\n\n<div data-wp-class--is-open=\"state.isOpen\" data-wp-context=\"{ &quot;id&quot;: &quot;accordion-item-3&quot;, &quot;openByDefault&quot;: false }\" data-wp-init=\"callbacks.initAccordionItems\" data-wp-on-window--hashchange=\"callbacks.hashChange\" class=\"wp-block-accordion-item is-layout-flow wp-block-accordion-item-is-layout-flow\">\n<h3 class=\"wp-block-accordion-heading has-medium-font-size\"><button aria-expanded=\"false\" aria-controls=\"accordion-item-3-panel\" data-wp-bind--aria-expanded=\"state.isOpen\" data-wp-on--click=\"actions.toggle\" data-wp-on--keydown=\"actions.handleKeyDown\" id=\"accordion-item-3\" type=\"button\" class=\"wp-block-accordion-heading__toggle\"><span class=\"wp-block-accordion-heading__toggle-title\"><strong>Teaching epidemiology, pharmacoepidemiology and biostatistics to the next generation: what &amp; how?<\/strong><\/span><span class=\"wp-block-accordion-heading__toggle-icon\" aria-hidden=\"true\">+<\/span><\/button><\/h3>\n\n\n\n<div inert aria-labelledby=\"accordion-item-3\" data-wp-bind--inert=\"!state.isOpen\" id=\"accordion-item-3-panel\" role=\"region\" class=\"wp-block-accordion-panel is-layout-flow wp-block-accordion-panel-is-layout-flow\">\n<p><strong><u>Session Responsibles:<\/u><\/strong><\/p>\n\n\n\n<p>Leader(s): <em>Karina Standahl Olsen<\/em><\/p>\n\n\n\n<p>Co-leader(s): <em>Marko Lukic <\/em>and<em> Nhung Trinh<\/em><\/p>\n\n\n\n<p>Speaker(s): <em>Marko Lukic, Karina Standahl Olsen, Anick Berard, Ursula Berger<\/em><\/p>\n\n\n\n<p><strong><u>Short Description:<\/u><\/strong><br>This seminar brings together university teachers to share practical, evidence-informed strategies for teaching epidemiology, pharmacoepidemiology, and biostatistics in a post\u20112020 landscape. We\u2019ll examine shifts in learner needs, hybrid delivery, assessment integrity, and the role of generative AI. Sessions spotlight a digital teaching platform for pharmacoepidemiology and approaches to teaching biostatistics that cultivate critical reasoning over rote computation. We conclude with a panel discussion to exchange resources, pitfalls, and next steps.<\/p>\n\n\n\n<p><strong><u>Learning Outcome(s):<\/u><\/strong><\/p>\n\n\n\n<p>By the end of the session, participants will gain increased awareness and competency in:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Post-2020 changes providing new frameworks that affect pedagogy, assessment, and student engagement in quantitative health sciences, including the opportunities and risks introduced by generative AI. A birds-eye view of the landscape starts off the session.<\/li>\n\n\n\n<li>The design and use of digital platforms for teaching which have become increasingly popular, promising flexible learning and resource efficient teaching. The Canadian platform for transdisciplinary training in perinatal research on medications complementary to university trainings will be showcased, and experiences will be shared.<\/li>\n\n\n\n<li>The increasing availability of statistical software, automated data analysis procedures, and artificial intelligence tools which has fundamentally changed the landscape of empirical research while easy access to powerful methods does not automatically translate into sound statistical reasoning. Teaching strategies will be highlighted, that center interpretation, uncertainty, and critical appraisal in biostatistics education, generalizable to other fields of teaching.<\/li>\n<\/ol>\n\n\n\n<p><strong><span style=\"text-decoration: underline\">Tentative program<\/span><\/strong><\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td>Time&nbsp;<\/td><td>Presenter&nbsp;<\/td><td>Title&nbsp;<\/td><\/tr><tr><td>13:00-13:45&nbsp;<\/td><td>TBA&nbsp;<\/td><td>Introduction: Teaching and learning post&nbsp;2020&nbsp;\u2013 changes and challenges&nbsp;<\/td><\/tr><tr><td>14:00-14:45&nbsp;<\/td><td>Prof.&nbsp;Anick Berard,&nbsp;Faculty of Pharmacy,&nbsp;University of Montreal&nbsp;<\/td><td>A digital teaching platform for&nbsp;pharmacoepidemiology: why,&nbsp;what&nbsp;and how&nbsp;<\/td><\/tr><tr><td>15:00-15:45&nbsp;<\/td><td>Prof.&nbsp;Ursula Berger,&nbsp;Institute for Medical Information Processing, Biometry and Epidemiology&nbsp;Ludwig-Maximilians-Universit\u00e4t,&nbsp;M\u00fcnchen&nbsp;&nbsp;&nbsp;<\/td><td>Empowering Students in Epidemiology: Teaching Biostatistics for Critical Reasoning&nbsp;<\/td><\/tr><tr><td>16:00-16:30&nbsp;<\/td><td>Moderator:&nbsp;TBA&nbsp;<\/td><td>Panel discussion with all presenters&nbsp;<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Registration We are open, click here to register. Deadline: 30 April When and where? Date: 2 June 2026Time: 13:00\u201317:00Location: UiT The Arctic University of Norway, Troms\u00f8 campus The university is located close to the city center of Troms\u00f8 and can easily be reached by local buses, with stops at UiT [&hellip;]<\/p>\n","protected":false},"author":123726,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-41","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/site.uit.no\/nordicepi-norpen-2026\/wp-json\/wp\/v2\/pages\/41","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/site.uit.no\/nordicepi-norpen-2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/site.uit.no\/nordicepi-norpen-2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/site.uit.no\/nordicepi-norpen-2026\/wp-json\/wp\/v2\/users\/123726"}],"replies":[{"embeddable":true,"href":"https:\/\/site.uit.no\/nordicepi-norpen-2026\/wp-json\/wp\/v2\/comments?post=41"}],"version-history":[{"count":3,"href":"https:\/\/site.uit.no\/nordicepi-norpen-2026\/wp-json\/wp\/v2\/pages\/41\/revisions"}],"predecessor-version":[{"id":466,"href":"https:\/\/site.uit.no\/nordicepi-norpen-2026\/wp-json\/wp\/v2\/pages\/41\/revisions\/466"}],"wp:attachment":[{"href":"https:\/\/site.uit.no\/nordicepi-norpen-2026\/wp-json\/wp\/v2\/media?parent=41"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}