PSI Webinar: Surrogacy
This webinar will provide an overview of surrogacy for licensing and reimbursement. In turn, the need of extensions of the SPIRIT and CONSORT statement will be defined and outlined, with case studies to support.
Date: The Second Wednesday of every Month
Time: 16:00-17:00 GMT/BST | 17:00-18:00 CET/CEST
Presenters: Bodo Kirsch, Alexander Schacht, Mark Baillie, Zachary Skrivanek, Lorenz Uhlmann, Rachel Phillips, David Carr, Steve Mallett, Rhys Warham, Lovemore Gakava, Zara Sari, Paolo Eusebi, Martin Brown, Martin Karpefors, Benjamin Lang, Elias Laurin Meyer.
Our monthly webinar explores examples of innovative data visualisations relevant to our day to day work. Each month a new dataset is provided from a clinical trial or other relevant example, and participants are invited to submit a graphic that communicates interesting and relevant characteristics of the data.
This is a good opportunity to develop your knowledge by thinking through a practical example, practicing how to apply graphics principles, and developing your coding skills. Or you could just attend the webinar, view the submitted graphs and listen to the panel discussion!
Find out more about this initiative...
To register for this series, please click here.
Registration is free for both Members and Non-Members of PSI. When you receive the link to 'join the event' in your registration confirmation, this will take you through to a Zoom registration page, which will ask for your name & email. Once you have entered this information with Zoom, you will have registered for all 12 occurrences in 2024, and will be able to attend any of them freely.
This webinar will provide an overview of surrogacy for licensing and reimbursement. In turn, the need of extensions of the SPIRIT and CONSORT statement will be defined and outlined, with case studies to support.
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Our monthly webinar explores examples of innovative data visualisations relevant to our day to day work. Each month a new dataset is provided from a clinical trial or other relevant example, and participants are invited to submit a graphic that communicates interesting and relevant characteristics of the data.
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