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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
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
Interview with Oliver Schoenborn-Kellenberger 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! Never miss an episode of The Effective Statistician Join hundreds of your peers and
Interview with Maria Costa and Shahrul Mt-Isa 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 data plays a vital role in weighting positive and negative effects of medications. In this episode, we give you an
Interview with Kate Taylor – chair of the PSI conference in 2019 Hopefully, you’re attending statistical conferences to learn more about the latest developments in the field. But of course, there’s much more to conferences than just the sessions. In this episode, I’m chatting with Kate Taylor – the chair
Not all patients are created equal, but are there subgroups that are more homogenous? This episode follows the outline of a webinar, that I presented in 2018 during a PSI webinar. I’m introducing cluster analysis and why you as a statistician need to know about it. The title of the
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