- Do you have great ideas but are struggling to implement them?
- Is having an idea and just being right already good enough?
- What can you do to convince your supervisor?
- How can you help others understand your point of view?
- Do you have the right tools on how to make things work?
In this episode, I’m speaking with two Effective Statistician Leadership program members. One is coming from academia and one is from a large pharmaceutical company- they both have interesting and inspiring success stories.
Learn from them as we talk about:
- How to take action to improve your leadership skills
- How to help others understand your story
- How to refine things from other’s reaction
- What impact the improvements in your leadership skills can have on your lives
Listen to this episode now and be inspired to become a leader!
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Join The Effective Statistician LinkedIn group
This group was set up to help each other to become more effective statisticians. We’ll run challenges in this group, e.g. around writing abstracts for conferences or other projects. I’ll also post into this group further content.
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.


