The Effective Statistician - in association with PSI
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...
Do you want to change your job?
Are you just looking for you first job?
Do you consider to work for your own company or as a free-lancer?
Then this episode will help you!
Benefit-risk assessments are made by various stakeholders including sponsors, regulators, payers, physicians, and patients throughout the life-cycle of a treatment.
The understanding of ...
In this episode, we talk about
- how to network
- how to prepare for the conference
- how to
follow up after the conference
As well as some specific topics around ...