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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?
Have you ever considered to work with a placement student?Do you consider to spend some time as a placement student yourself? In this interview with Katie Thorn and Claire Brittain, we’re exploring factors, which help to make it a win for both sides. Both have worked very well together and
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 individuals to learn more about statistical methods, it was less clear, why and on which topics the group should focus their activities on.
Interview with Marco Boeri 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 understanding of how the benefit-risk profile for a given patient looks like. However, the patient
Interview with Michael O’Kelly 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. In todays episode, we speak with Michael O’Kelly, an expert on this topic with lots of
Interview with Andy Nicholls 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 all face this situation sooner or later and not surprisingly lots of research
Interview with Lovisa Berggren 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 details do you need to have to call an analysis pre-specified? Should we
Overcoming the simplification strategy 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 or analyse them as if they are continuous. Recently, these problems have becoming much more prevalent
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,
Today we’re answering a question from the listeners. As nearly everybody will need to train non-statisticians sooner or later, this is a relevant topic. Unfortunately, lots of the trainings fall short and leave the audience confused and even bored. This episode helps you to make your training engaging, interesting and
Interview with Brett Hauber 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 the decision-making process and patients voice their needs and preferences more. Still capturing and evaluating
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? Never
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