A virtual summer academy for statisticians
This hybrid academy is open to both UCOnn students and students outside of UConn. It’s sponsored by Boehringer Ingelheim.
Reine
6 steps to prepare before you want to convince your business partner
Whenever, we want to change something, we usually need others to agree into the next steps.
The power of simulations for designing clinical studies and beyond
Aiden has first worked on simulations during studying statistics to understand which sample sizes lead to sufficient performance of statistics, which are only asymptotically normal.
The Chimp Paradox
The Chimp Paradox is an incredibly powerful mind management model that can help you become a happy, confident, healthier, and more successful person.
Data monitoring committees for clinical trials and the role of the statistician
In today’s episode, we’re talking with a niche part of clinical research many statisticians never get actively involved in: DMCs (Data Monitoring Committees).
Bias – variance – tradeoff – an important principle you should know and 3 examples for it
The knowledge about the bias variance tradeoff is very important for you as a statistician as it comes across your work – especially exploratory work
Reflections on Statistics Career Opportunities in Drug Development and Healthcare
Jenny wants to give you a few key points to consider when evaluating potential statistics / data science careers in drug development and healthcare.
Career dedication and motivation – the unsung heroes of COVID
we know that there are thousands of ‘unsung heroes’ around the world, working in different capacities on different clinical trials to make the breakthrough.
5 steps to present successfully to upper management about complex stats (and everything else)!
Should we oversimplify statistics, or should managers learn more about statistics?
If you’ve been working as a statistician for a while, you know that you have to keep it simple if you want managers to understand you.
Do you want to think and act more strategically?
Outside of statistics departments, we are often seen as tactical and operational implementers. This branding makes it hard for statisticians to be included in strategic discussions.
