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.
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 is an incredibly powerful mind management model that can help you become a happy, confident, healthier, and more successful person.
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).
The knowledge about the bias variance tradeoff is very important for you as a statistician as it comes across your work – especially exploratory work
Jenny wants to give you a few key points to consider when evaluating potential statistics / data science careers in drug development and healthcare.
we know that there are thousands of ‘unsung heroes’ around the world, working in different capacities on different clinical trials to make the breakthrough.
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.
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.
I think of uncertainty as the variability in the population we are studying, around estimates, or the model uncertainty, which we might capture via looking into various models.
In this episode, Benjamin talk about how to make business focus and self development work together. We also provide you numerous tips on how to make it work.