Frank has something in common with Benjamin and myself - we all studied statistics in Göttingen and learned and researched in non-parametric statistics. Afterwards, we went into different paths. Whereas Benjamin started at a CRO and I joined large pharma organizations, Frank continued on the academic track.

He recently became Professor at the famous Charitee in Berlin, where he’s still dedicating a lot of research to the field of non-parametric statistics. However, he’s not an ivory tower researcher but also applies these approaches in the medical research he’s taking part in.

Learn about a whole universe of different approaches, which will help you overcome many limitations of the methods, which you’re using daily.

Why do you think many of these “subgroup” projects are a headache for statisticians?
Have you felt frustrations about such projects yourself?
What are the steps to avoid or at least minimize these frustrations?

Do you have the same questions in mind? These are some of the questions Necdet will be and sharing with us.

This episode is based on a presentation at PSI 2019. Necdet won The Effective Statistician Best Presenter award for the amazing delivery of the presentation. But not only the delivery was excellent - the content will help you a lot.

Are you curious about why and how I started The Effective Statistician?
What's in it for you?
Why I'm passionate about it?

Are you a sponsor who is seeking joint scientific advice from a regulatory agency and from an HTA body?

If yes, this episode is for you. This presentation replicates the discussions which may go on during scientific advice. The example was in Respiratory. This roleplay is played by David Wright, Oliver Keene, Stephen Ruberg, and myself. The aim is to show a couple of discussion points and an interesting aspect that may come up with such discussions.

A lively debate followed about the differing needs of Regulatory agencies vs HTA, with the patient voice often not taking centre stage.

As statisticians, we work in cross-functional teams, but many people, especially junior people prefer to follow rather than to lead - and that's okay. Ask yourself:

Do you always take the position of the follower or a leader?
Do you need to train yourself to lead?
Are you seen as an implementer?
Do you have goals for your project?

A lot of statisticians, especially in pharmaceutical companies but also CROs, fear outsourcing because it might make their job redundant. Think about:

What can you do about it?
How can you add value to your organisation?
What would it cost to outsource your organisation?
If you would need to compete with other organisations, would you survive?

Storytelling allows businesses to better understand insight.

Data visualization is a great tool to help share, or tell a story, but relies on the story being written first. Improved data communication comes from combining good visualization with a well-written narrative.

There's a lot to learn to be a good data storyteller.

Today, I’m talking with Kat about:
- What do you understand by storytelling with data?
- Why is it important?
- Which role should statisticians play?
- What skills do statisticians need for this?
- Where to learn these skills?

There is an endless list of things that can go wrong in sponsor-CRO relations. I’m pretty sure you have been in painful discussions about this. Have you felt a lot of frustrations on both ends?

If yes, this episode is for you. We’re sharing interesting insights here as Benjamin works for a CRO and I work for the sponsor side. We will be giving you a lot of insights on what to do and what not to do, and how to make the collaboration between a sponsor and a CRO successful.

The 2019 PSI Conference took place at the Queen Elizabeth II Centre (QEII), London, with the theme of “Data Driven Decision Making in Medical Research”.

The sessions included early phase innovative trial design, industry best practice, statistical issues in safety drug labelling, model-based dose-finding designs, an update from Transcelerate and much more.

In this series of interviews with the speakers at the conference, we talked about different topics:
- Visualization software
- Benefit risks approach
- Global statistical test for multiple endpoint analysis
- Estimands
- AE analysis using a volcano plot

Do you agree that everybody makes mistakes?
Have you had to deal with a mistake yourself, that you were really concerned about?
Were you afraid about speaking with your supervisor or your team with it?

We are all imperfect humans making mistakes. The questions are:

how do we deal with them,
what we can do about them, and
what to do to minimize them.

Processes are made to minimize mistakes and there different processes were set up to deal with mistakes and help you when mistakes occur.