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Do you agree that everybody makes mistakes?Have you had to deal with a mistake yourself, that you were really concerned about?Were you afraid about speaking with your supervisor or your team with it? We are all imperfect humans making mistakes. The questions are: how do we deal with them, what

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Interview with Julia Carter Have you been sitting in boring presentations that made you start reading your emails? Have you been listening to someone, wondering if this is for me?Have you been getting away from a presentation and thinking 2 hours later: “what was this about?” You’re surely don’t want

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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?

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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

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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.

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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

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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

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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

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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

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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

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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,

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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

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