PSI Webinar(s): Causal inference in Clinical Trials
Over the course of two sessions, a panel of 8 esteemed speakers will give an introduction to the topic, followed by a presentation of case studies & interactive panel discussion.
Date: Second Wednesday of every month (*except June 2023 due to Conference)
Time: 16:00-17:00 GMT/BST | 17:00-18:00 CET/CEST
Presenters: Wonderful Wednesdays are brought to you by the PSI Visualisation SIG, made up of: Bodo Kirsch, Alexander Schacht, Mark Baillie, Daniel Saure, Zachary Skrivanek, Lorenz Uhlmann, Rachel Phillips, David Carr, Steve Mallett, Lovemore Gakava, Katie Murphy, Rhys Warham, Zara Sari, Martin Karpefors, Martin Brown, Paolo Eusebi, Greg Ball and Benjamin Lang.
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 11 occurrences in 2023, and will be able to attend any of them freely.
Over the course of two sessions, a panel of 8 esteemed speakers will give an introduction to the topic, followed by a presentation of case studies & interactive panel discussion.
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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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