Knowledge

I once reviewed tables for a randomized study and noticed several comments about testing the baseline characteristics. The commenters were arguing which test would be best to test for the differences between the 2 randomized groups at baseline.

This made me first angry about the wasted time and then curious about the reasons, statisticians still do this.

In today’s episode, Benjamin and I discuss some backgrounds for baseline testing in randomized studies. We also recommend these further readings:

Interview with Jack Corbett

I recently changed my job and moving from one company to another comes with lots of uncertainty.

• Will I pick the right one?
• How can I make sure, that I actually get the job, that I want?
• Will hiring companies find me and offer me jobs?

For any statistician a job change represent a major shift and occurs rather infrequent – hopefully. For a recruiter – this is day-to-day business.

Interview with Tim Rolfe

Risk-based monitoring plays an increasingly important role for clinical trials. Of course, the assessment of the risk is based on statistics. This presents now only interesting career options for statisticians, but also has an impact on the role of statisticians in study teams.

In this episode, we’ll give you an introduction to risk-based monitoring (RBM) as well as speak about the role of statisticians in this area. Further we provide you as a study statistician insights into what you need to know about RBM. Finally, we also give some recommendations in terms of further resources to learn from.

What aspects to consider?

• Are you early in your career and you could still go for a PhD in statistics?
• Do you wonder, if this pays out short and long-term?
• Is it worth the money?
• What are the long-term benefits or are there actually short term benefits as well?