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DTSTART;VALUE=DATE:20250101
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BEGIN:VEVENT
DESCRIPTION:Date: Tuesday 21st April&nbsp\;2026\nTime:&nbsp\;14:00 - 15:30 
 (GMT) / 15:00 - 16:30 (CET)\nLocation:&nbsp\;Online via Zoom\nSpeakers:&nb
 sp\;Vivian Lanius (UCB)\, Francesca Callegari (Novartis) and Maarten van D
 ijk (Staburo GmbH)&nbsp\;\n\nWho is this event intended for?:\nClinical re
 searchers\, medical writers\, statisticians\, and anyone engaged in report
 ing clinical trial results.\n\nWhat is the benefit of attending?:\nKey tak
 eaways will be:\n- Why estimands matter for decision-making and communicat
 ion.\n- Practical considerations for integrating estimands into study repo
 rts.\n- Lessons learned from case studies and real-world applications.\nCo
 st\nThis webinar is free to both Members of PSI and Non-Members.\nRegistra
 tion\nTo register for this event\, please click here\nOverview\nClear and 
 transparent reporting of clinical trial results is essential for regulator
 y decision-making\, scientific evaluation\, and effective communication wi
 th healthcare professionals and patients. With the introduction of the ICH
  E9(R1) addendum on estimands and sensitivity analysis\, the industry has 
 a powerful framework to improve clarity around treatment effects. But how 
 can this framework be effectively implemented in practice at the stage of 
 reporting study results?\n\nJoin us for an insightful webinar where we exp
 lore practical strategies for applying the estimand framework in clinical 
 study reporting. Drawing on real-world experiences and case studies\, we w
 ill share recommendations to help you:\n- Understand the role of estimands
  in improving transparency and interpretation of trial results.\n- Navigat
 e common challenges in implementing the framework during reporting.\n- App
 ly best practices to enhance regulatory submissions\, webposting in public
  registries (clinicaltrials.gov/CTIS)\, and scientific publications.\n\nWh
 ether you are involved in clinical trial design\, data analysis\, or regul
 atory submissions\, this session will provide actionable guidance to reali
 ze the full potential of the estimand framework.\n\nSpeakers\n\n    \n    
     \n            Speaker\n            &nbsp\;Biography\n        \n       
  \n            &nbsp\;\n            Vivian Lanius (UCB)\n            Vivia
 n is a Statistical Methodology Lead in UCB&rsquo\;s Statistical Innovation
  group\, a role she assumed in 2024 after more than 18 years as a statisti
 cian at Bayer. She serves as a EFSPI Council Member for the German member 
 group APF and is Chair of the EFSPI Regulatory Statistics Workshop for 202
 5 and 2026. Vivian is also an active member of the EFSPI/EFPIA Estimand Im
 plementation Working Group (EIWG)\, where she leads the reporting subteam.
 \n        \n        \n            &nbsp\;\n            Francesca Callegari
  (Novartis)\n            Francesca is as a Director of Biostatistics at No
 vartis. She began her career in 2003 as a biostatistician at Bristol Myers
  Squibb and has since accumulated over twenty years of experience at Novar
 tis across multiple therapeutic areas. She is an active contributor to the
  Novartis Estimand Implementation Team as well as the EFSPI/EFPIA Estimand
  Implementation Working Group\, with a particular focus on the reporting s
 ubteam.\n        \n        \n            &nbsp\;\n            Maarten van 
 Dijk (Staburo GmbH)&nbsp\;\n            Maarten is an associate director i
 n the Data Transparency &amp\; Medical Writing group at Staburo GmbH\, bef
 ore moving to industry more than six years ago he worked as a researcher i
 n academia. He is currently working to implement Estimands in clinical res
 earch both at Staburo GmbH and as part of the EFSPI/EFPIA Estimand Impleme
 ntation Working Group (EIWG)\, reporting subteam.&nbsp\;\n        \n    \n
 \n
DTEND:20260421T153000Z
DTSTAMP:20260418T191346Z
DTSTART:20260421T140000Z
LOCATION:
SEQUENCE:0
SUMMARY:Enhancing Clinical Study Reporting with the Estimand Framework
UID:RFCALITEM639121364269798742
X-ALT-DESC;FMTTYPE=text/html:<strong>Date:</strong> Tuesday 21st April&nbsp
 \;2026<br />\n<strong>Time:</strong>&nbsp\;14:00 - 15:30 (GMT) / 15:00 - 1
 6:30 (CET)<br />\n<strong>Location:</strong>&nbsp\;Online via Zoom<br />\n
 <strong>Speakers:&nbsp\;<em></em></strong><em>Vivian Lanius (UCB)\, France
 sca Callegari (Novartis) and Maarten van Dijk (Staburo GmbH)&nbsp\;</em><b
 r />\n<br />\n<strong>Who is this event intended for?:<br />\n</strong>Cli
 nical researchers\, medical writers\, statisticians\, and anyone engaged i
 n reporting clinical trial results.<strong><br />\n</strong><br />\n<stron
 g>What is the benefit of attending?:</strong><br />\nKey takeaways will be
 :<br />\n- Why estimands matter for decision-making and communication.<br 
 />\n- Practical considerations for integrating estimands into study report
 s.<br />\n- Lessons learned from case studies and real-world applications.
 <br />\n<h4>Cost</h4>\n<p>This webinar is free to both Members of PSI and 
 Non-Members.</p>\n<h4>Registration</h4>\n<p>To register for this event\, p
 lease <strong><span style="text-decoration: underline\;"><a href="https://
 psi.glueup.com/event/maths-meets-medicine-exploring-careers-in-the-pharmac
 eutical-industry-130333"></a><a href="https://psi.glueup.com/event/enhanci
 ng-clinical-study-reporting-with-the-estimand-framework-172627/" target="_
 blank"><strong><span style="text-decoration: underline\;">click here</span
 ></strong></a></span></strong></p>\n<h4>Overview</h4>\n<p>Clear and transp
 arent reporting of clinical trial results is essential for regulatory deci
 sion-making\, scientific evaluation\, and effective communication with hea
 lthcare professionals and patients. With the introduction of the ICH E9(R1
 ) addendum on estimands and sensitivity analysis\, the industry has a powe
 rful framework to improve clarity around treatment effects. But how can th
 is framework be effectively implemented in practice at the stage of report
 ing study results?<br />\n<br />\nJoin us for an insightful webinar where 
 we explore practical strategies for applying the estimand framework in cli
 nical study reporting. Drawing on real-world experiences and case studies\
 , we will share recommendations to help you:<br />\n- Understand the role 
 of estimands in improving transparency and interpretation of trial results
 .<br />\n- Navigate common challenges in implementing the framework during
  reporting.<br />\n- Apply best practices to enhance regulatory submission
 s\, webposting in public registries (clinicaltrials.gov/CTIS)\, and scient
 ific publications.<br />\n<br />\nWhether you are involved in clinical tri
 al design\, data analysis\, or regulatory submissions\, this session will 
 provide actionable guidance to realize the full potential of the estimand 
 framework.<br />\n<br />\n<strong>Speakers</strong></p>\n<table>\n    <tbo
 dy>\n        <tr>\n            <td><strong>Speaker</strong></td>\n        
     <td><strong>&nbsp\;Biography</strong></td>\n        </tr>\n        <tr
 >\n            <td>&nbsp\;<img src="https://www.psiweb.org/images/default-
 source/default-album/vivian-lanius.tmb-thumbnail.jpg?Culture=en&amp\;sfvrs
 n=a82caedb_1&amp\;sf_site_temp=true&amp\;sf_site=00000000-0000-0000-0000-0
 00000000000" data-displaymode="Thumbnail" alt="Vivian Lanius" title="Vivia
 n Lanius" /><em><br />\n            Vivian Lanius (UCB)</em></td>\n       
      <td>Vivian is a Statistical Methodology Lead in UCB&rsquo\;s Statisti
 cal Innovation group\, a role she assumed in 2024 after more than 18 years
  as a statistician at Bayer. She serves as a EFSPI Council Member for the 
 German member group APF and is Chair of the EFSPI Regulatory Statistics Wo
 rkshop for 2025 and 2026. Vivian is also an active member of the EFSPI/EFP
 IA Estimand Implementation Working Group (EIWG)\, where she leads the repo
 rting subteam.</td>\n        </tr>\n        <tr>\n            <td>&nbsp\;<
 img src="https://www.psiweb.org/images/default-source/default-album/france
 sca.tmb-thumbnail.jpg?Culture=en&amp\;sfvrsn=402caedb_1&amp\;sf_site_temp=
 true&amp\;sf_site=00000000-0000-0000-0000-000000000000" data-displaymode="
 Thumbnail" alt="Francesca" title="Francesca" /><em><br />\n            Fra
 ncesca Callegari (Novartis)</em></td>\n            <td>Francesca is as a D
 irector of Biostatistics at Novartis. She began her career in 2003 as a bi
 ostatistician at Bristol Myers Squibb and has since accumulated over twent
 y years of experience at Novartis across multiple therapeutic areas. She i
 s an active contributor to the Novartis Estimand Implementation Team as we
 ll as the EFSPI/EFPIA Estimand Implementation Working Group\, with a parti
 cular focus on the reporting subteam.</td>\n        </tr>\n        <tr>\n 
            <td>&nbsp\;<img src="https://www.psiweb.org/images/default-sour
 ce/default-album/maarten.tmb-thumbnail.jpg?Culture=en&amp\;sfvrsn=5c2caedb
 _1&amp\;sf_site_temp=true&amp\;sf_site=00000000-0000-0000-0000-00000000000
 0" data-displaymode="Thumbnail" alt="Maarten" title="Maarten" /><br />\n  
           <em>Maarten van Dijk (Staburo GmbH)&nbsp\;</em></td>\n          
   <td>Maarten is an associate director in the Data Transparency &amp\; Med
 ical Writing group at Staburo GmbH\, before moving to industry more than s
 ix years ago he worked as a researcher in academia. He is currently workin
 g to implement Estimands in clinical research both at Staburo GmbH and as 
 part of the EFSPI/EFPIA Estimand Implementation Working Group (EIWG)\, rep
 orting subteam.&nbsp\;</td>\n        </tr>\n    </tbody>\n</table>\n<br />
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