Over the last years, leaders of statistical organisations across Europe are meeting each year to talk about how the community can be moved forward and other important topics affecting statisticians in the industry. In 2021 was another meeting and I'm talking with Chrissie Fletcher about some of the topics covered during this years meeting.

In our standard graphics, we usually present summary statistics only. The exception is the Kaplan-Meier plot showing also individual patients. Showing individual patients effectively tells us so much more about e.g. clusters, outliers, and extreme values.

Do you think, you have nothing to add to a statistical conference? Are you afraid of sharing your achievements?
Do you wonder, why you should put in the effort on top of your day-to-day job?

All these thoughts and questions will be addressed in this episode with Paul Terrill, the chair of the scientific committee of PSI. 

Beyond the questions above, we will also talk about the logistics and practical tips on how to submit your abstract and to become a speaker at next years conference.

Have you ever been stuck in moving something forward?
Do you wonder why others seem to be able to cut through the bureaucracy more easily?
Are you frustrated by the politics around you?

Olaf has a really interesting character. He is an IT guy and he went up through the ranks of different companies, had a great career and learned quite a lot about leadership. He was applying a lot of these learnings and now he's training others in that regard as he has his very own leadership program. I'm a participant and have benefited a lot.

One day, we agreed to discuss the 4 pillars of boosting your career. He helped me sharpen my thoughts and here's the result!

What is Statistical Engineering (SE)?

How did the idea of Statistical Engineering come about?

Is SE an idea and a practice, or is it a profession, or both? 

How does SE compare to the role/profession of “statistician” and/or “data scientist”?

Today, I have an interview with Margaret Gamalo, about how to combine a controlled arm with real world evidence data, a really hot topic.

Also, Margaret has been sharing her knowledge for a long time and has gained lots of opportunities this way. Helping others will help you in the long-run. We discuss this aspect in the episode as well.