This episode is for you!
[Read more…] about Good data visualization checklistPrincipal stratification used to play a role only in observational research but at least since the addendum of the ICH E9 guideline, this approach to causal inference became a hot topic.
In this episode, I talk with 2 experts from Novartis and Roche. We cover the following questions:
Björn and Kaspar recommend the following very useful references:
[Read more…] about A deep dive into principal stratification and causal inferenceYves and I have worked together in various roles. Over time, he became more interested in becoming a statistician and I helped him to change his career path in this direction.
As part of his master thesis, he worked on an idea; I had sketched out a couple of years ago but never had the time to fully think through. I wanted to explore how we could utilize existing study data to inform the benefit-risk assessment of different therapies. In this episode, you will learn a new concept which also is related to minimal clinical meaningful differences and helps to assess the impact of various adverse events on the patient. Specifically, we dive into:
[Read more…] about The benefit-risk tolerability measure – a new way to reach insights into benefit-risk and moreToday, we are talking about Taylor Swift and visualizations.
Does it seem like a very unreasonable thing?
I thought so as well but then I read this interesting LinkedIn post where I laughed hard but it really made sense!
Join us in today’s episode as we are talking about the following points:
[Read more…] about What we can learn from Taylor Swift about creating data visualizations
