The Effective Statistician - in association with PSI
I recently talked to a statistician, that initiated a small company internal group of statisticians to drive forward methodological innovation projects. While this surely will help the individua...
As statisticians in the medical field, we’re used to study subgroups of patients with respect to all kinds of biological variables: from demographics to genomics. This provides us with a good un...
Estimands continue to be a hot topic, but many statisticians struggle to put it into practice. As statistician, we wonder about the correct interpretation and how to analyse different estimands....
One of the most common questions I got asked during my nearly 2 decades of being a statistician sounds similar to this: “Which patients have the best response to treatment?”
I’m sure, we a...
Prespecified=good and post-hoc=bad. This is how we as statistician see it usually and I did too. However, over the past years I realized more and more, that it’s not that easy.
How many d...
Analysing binary or continuous data usually doesn’t cause any headaches for statisticians. But when we step into ordinal data, most of us ignore their specific nature and either dichotomize them...
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 fo...
1. Start with a relevant example
2. Collect questions upfront and track progress of answering them during the training
3. Create regular meetings to engage people
4. Interrupt ...
Ultimately, we work to improve patients lives but traditionally the voice of the patient was not important. However, over the last decades many stakeholders shift to include the patient more in ...
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...