Today we’re answering a question from the listeners. As nearly everybody will need to train non-statisticians sooner or later, this is a relevant topic. Unfortunately, lots of the trainings fall short and leave the audience confused and even bored.
This episode helps you to make your training engaging, interesting, and useful. Such training will help you to build your reputation as an expert as well as a great person to work with. It’s an awesome experience for non-statisticians if they have a light-bulb moment while being trained in statistics.
Listen to the episode and learn about these 11 tips to make your training successful:
- Start with a relevant example
- Collect questions upfront and track the progress of answering them during the training
- Create regular meetings to engage people
- Interrupt your presentations by asking questions
- Use contrasts to show the impact
- Have a physician first introduce the example study
- Don’t shy away from speaking to very basic things like p-values
- Prefer whiteboard over slides
- Use technology to your advantage in virtual settings
- Make pre-read easy
- Collect feedback
Please share this episode with your colleagues so they to deliver better training as well.
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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.