『The Effective Statistician - in association with PSI』のカバーアート

The Effective Statistician - in association with PSI

The Effective Statistician - in association with PSI

著者： Alexander Schacht and Benjamin Piske biometricians statisticians and leaders in the pharma industry
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 The podcast from statisticians for statisticians to have a bigger impact at work. This podcast is set up in association with PSI - Promoting Statistical Insight. This podcast helps you to grow your leadership skills, learn about ongoing discussions in the scientific community, build you knowledge about the health sector and be more efficient at work. This podcast helps statisticians at all levels with and without management experience. It is targeted towards the health, but lots of topics will be important for the wider data scientists community.Alexander Schacht 博物学 科学 自然・生態学
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  • Why to present better and how as a statistician

    Why to present better and how as a statistician
    2025/12/01
    In this episode, I talk with my long-time friend and frequent guest, Kaspar Rufibach, about a skill that quietly determines how much impact we really have: presenting and communicating our work. We walk through how Kaspar prepares his talks (including why he starts months in advance), how he structures messages so stakeholders actually remember and act on them, and why overcrowded slides are often just a sign that we haven’t done the hard thinking yet. We also get honest about something many statisticians feel but rarely discuss: the fear of public speaking, the frustration of bad meetings, and the “personal brand” you build every time you present—whether you intend to or not. If you’ve ever walked out of a meeting thinking “I don’t think they really understood what I meant,” this episode is for you.
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    36 分
  • External control arms - how to get to a good one

    External control arms - how to get to a good one
    2025/11/27
    In this episode, I’m joined by Deepa Jahagirdar, Associate Research Principal at Cytel, to explore what it really takes to build a good external control arm (ECA). Deepa brings a fascinating background from social epidemiology, where causal questions often need to be answered without running randomized trials. That experience translates directly into today’s growing need for ECAs, especially when we rely on real-world data to support single-arm trials, extension phases, or situations where randomization simply isn’t possible. Together, we discuss how to choose the right data source, how target trial emulation works in practice, what to do about confounding, and how to judge whether an ECA is truly robust. If you’re working with real-world evidence, complex study designs, or causal inference, this episode will give you clarity and confidence in approaching ECAs the right way.
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    27 分
  • Top 9: Non-parametric analyses - much more than just the Wilcoxon test!

    Top 9: Non-parametric analyses - much more than just the Wilcoxon test!
    2025/11/10
    Why this episode made our all-time Top 9: If you’ve ever thought “non-parametric = Wilcoxon/Mann-Whitney and that’s it,” this conversation will happily destroy that myth. Frank shows how rank-based methods unlock rigorous analyses for skewed data, outliers, ordinal endpoints, small samples, composites/estimands—and how to communicate effects without relying on means.
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    40 分
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