Content/Sidebar

Interview with Loris Marini

What is the data project?
Why are data management programs a strategic imperative?
Why do they fail?

Usually a data management project starts with a change of perspective in the organisation, especially from senior leaders. To make such a project happen, data leaders must be familiar with the principles of change management, learn to speak the language of business, and be excellent listeners to craft and communicate an interesting and realistic vision to release value from information.

Listen while Loris, a man who views data through a human lens, and I talk about the following points:

Interview with Irene de la Torre Arenas

You may think that QR codes aren’t new. But it’s actually quite something new in our field.

We as statisticians, should not just leave the use of QR code to other functions such as medical writing. Instead, let’s leverage this tool to have an impact and improve our output.

Listen while we discuss the following points:

Interview with Kaspar Rufibach and Jan Beyersmann

When I started my career as a statistician in the clinical world, I was wondering about safety analysis. I thought it’s always the same – count the patients with an event – job done! Then just repeat.

But it’s not that simple, especially in more complex situation where you have different follow-up times. Then the patients that stay longer on treatment as they benefit from it, also get more adverse events. Naively counting the patients with events or the number of events may make the beneficial treatment look worse. So, how can you account for this?

Join us while we dive deep into the following points:

Why spend part of your career in non-clinical statistics?
What are the advantages?
What is the importance of having a variety of tools?

In this episode, Sam and I talk about the advantages of spending time in the non-clinical areas and other important points:

Interview with Thomas Neitmann

R versus SAS – which is the better tool?

Today, we talk about a controversial topic. If you go online and look into social media, you’ll find a lot of data scientists that talk about R versus Python. In medical and clinical research, it’s more about R versus SAS.

For this discussion, we have Sam Gardner and Thomas Neitmann representing SAS and R, respectively.

Join us while we discuss the following points: