『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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  • Replay: Things we would like to have known before we started with RWE

    Replay: Things we would like to have known before we started with RWE
    2025/07/21
    This episode originally struck a chord with statisticians around the world—and for good reason. Whether you’re just starting with real-world evidence (RWE) or mentoring someone who is, this conversation is packed with practical lessons that will help you navigate the complexities of observational data with more confidence. In this special replay, guest Rachel Tham and I reflect on the real-world analysis mistakes, misconceptions, and growing pains they wish someone had warned them about earlier in their careers. From ambiguous index dates to messy exposure definitions and unexpected data quirks—this episode will save you hours of rework and help you better manage timelines and expectations.
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    49 分
  • AI and Statistics Start-ups: Opportunities and Challenges

    AI and Statistics Start-ups: Opportunities and Challenges
    2025/06/30
    In this thought-provoking keynote recording, Manjari Narayan takes us on a journey through one of the most pressing and promising intersections in modern science: the convergence of artificial intelligence, statistics, and biotechnology. Drawing on her extensive experience in both academia and biotech startups, Manjari explores the critical role statisticians can play in AI-driven drug discovery, biomarker validation, and experimental design. We are living in a "Cambrian explosion" of biotechnology, where high-throughput experiments, protein engineering, humanized models, and AI-powered screening open massive opportunities—but also introduce challenges in scientific validity, reproducibility, and decision-making. Through personal vignettes and cutting-edge examples, Manjari lays out how statistical thinking can (and should) drive better outcomes in early-stage drug development, biomarker discovery, and translational model evaluation. This episode is a must-listen for statisticians, data scientists, and healthcare innovators navigating the rapidly evolving biotech and AI startup landscape.
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    44 分
  • Combining RCT and RWD – applications in rare diseases and practical recommendations

    Combining RCT and RWD – applications in rare diseases and practical recommendations
    2025/06/23
    In this special keynote episode, I’m excited to share the recording of Professor Tim Friede’s thought-provoking presentation from The Effective Statistician Conference 2024. Tim, a leading expert in biostatistics and clinical trial design, dives deep into the combination of randomized controlled trials (RCTs) and real-world data (RWD)—especially in the context of rare diseases. Drawing from his work at the University Medical Center Göttingen and numerous European research initiatives, Tim presents a compelling case for integrating RWD to support small or underpowered RCTs using advanced statistical models. He shares real-world examples (including CJD and Alport syndrome), simulation insights, and practical recommendations that can change how we approach evidence generation in low-prevalence populations. What You’ll Learn:
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    47 分

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