While we go through our careers, we have lots of days that are more or less similar: meetings, discussions, and emails. But sometimes there are spotlight moments. You can be in a meeting with various senior people or work with new clients that is really critical. You have a meeting that will make it or break it. Very often these kinds of meetings come with some kind of warning. You e.g. know you need to defend your case in front of a committee and it will be a tough discussion.
One of the toughest discussions you can be in as a statistician is a GBA hearing in Germany. During this meeting, you can make or break the launch of a new product or indication in Germany with consequences for Europe and beyond. As a statistician, you’re here in a high-stakes discussion.
In this episode, I’ll be giving you some tips on what can you do to be prepared for it:
- Know your data inside-out
- Know the set-up
- Know the stakeholders
- Know the written and unwritten rules
- Have a very clear goal
- Display confidence
Listen to this episode and be prepared for a tough discussion. Share this with your friends and colleagues who might learn from it!
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I want to help the community of statisticians, data scientists, programmers and other quantitative scientists to be more influential, innovative, and effective. I believe that as a community we can help our research, our regulatory and payer systems, and ultimately physicians and patients take better decisions based on better evidence.
I work to achieve a future in which everyone can access the right evidence in the right format at the right time to make sound decisions.
When my kids are sick, I want to have good evidence to discuss with the physician about the different therapy choices.
When my mother is sick, I want her to understand the evidence and being able to understand it.
When I get sick, I want to find evidence that I can trust and that helps me to have meaningful discussions with my healthcare professionals.
I want to live in a world, where the media reports correctly about medical evidence and in which society distinguishes between fake evidence and real evidence.
Let’s work together to achieve this.
