Podcast

Part 1

• Do you want to review a data visualization effectively?
• Do you want to provide your organization with a simple tool to improve your data visualizations?
• Do you need a checklist for yourself to make sure you covered everything for your data visualization?

This episode is for you!

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:

• What is Principal Stratification?
• How would you describe principal stratification to a non-statistician?
• Where do you see the benefits of this estimand compared to the other typical strategies?
• Which critique points do are usually raised against this approach?
• How do you implement/calculate corresponding estimates for this estimand?
• What references would you recommend for further reading?

Björn and Kaspar recommend the following very useful references:

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 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:

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 points:

Interview with Victoria Gamerman

What’s in it for statisticians and data scientists?

Design thinking is an interesting topic and is becoming more popular these days. I found out about it on LinkedIn and it’s where I met Victoria.

In this episode, Victoria and I talk about the following points:

What do you do if you need something from someone at work, but

• You have never talked to this person ever before
• This person doesn’t know you
• The person is very protective about the thing you need
• You have only 15 minutes to convince her

Very tricky situation!

In this episode, I will show you through this example how you can get what you need and have the other person feel good about it.