Reine Escalona

A deep dive into principal stratification and causal inference

Interview with Björn Bornkamp and Kaspar Rufibach Principal 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: …

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The benefit-risk tolerability measure – a new way to reach insights into benefit-risk and more

Interview with Yves Schymura Yves 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 …

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What we can learn from Taylor Swift about creating data visualizations

Interview with Nicholas Lowthorpe Today, 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 …

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What statisticians can learn from “The Art of Action”

Interview with Stephen Bungay Stephen is a really interesting person. He is the author of The Art of Action and has a background in consulting and history. Based on this knowledge, he wrote a couple of books about history and leadership. In terms of leadership, there’s an area that overlooked usually from the business. However, …

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