The Effective Statistician - in association with PSI By cover art

The Effective Statistician - in association with PSI

By: Alexander Schacht and Benjamin Piske biometricians statisticians and leaders in the pharma industry
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  • Summary

  • 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
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Episodes
  • The Current State Of EU HTA: Large Challenges Ahead!

    The Current State Of EU HTA: Large Challenges Ahead!
    Jun 17 2024
    34 mins
  • Take Control of The Perceptions Others Get From You Online!

    Take Control of The Perceptions Others Get From You Online!
    Jun 13 2024
    Welcome to another Friday episode! Today, I want to talk about something crucial—your digital footprint. And no, I'm not talking about your carbon footprint. I'm talking about how you are perceived on various digital platforms like Google, LinkedIn, and other social media. Have you ever wondered what people find when they search for you online? Is your LinkedIn profile making the right impression? Whether you're an academic, a professional in a CRO, or simply looking to boost your online presence, the impressions you make digitally can greatly impact your career opportunities. I'll share why it's essential to have a professional online profile, particularly on LinkedIn, and offer practical tips to help you shape how others see you. Tune in and discover how to take control of your digital presence and why it matters for your career growth.
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    10 mins
  • The FAIRification Of Research In Real-World Evidence: A Practical Introduction To Reproducible Analytic Workflows Using

    The FAIRification Of Research In Real-World Evidence: A Practical Introduction To Reproducible Analytic Workflows Using
    Jun 10 2024
    How can you ensure your data and analytic workflows are reproducible and transparent? What are the FAIR principles, and why are they crucial for real-world evidence research? How did a pharmacist and epidemiologist become an expert in real-world data analytics? In this episode, we explore the practicalities of creating reproducible analytic workflows using Git and R with our special guest, Janick Weberpals. As an instructor in medicine at Brigham and Women's Hospital and Harvard Medical School, Janick shares his journey from pharmacist and epidemiologist to an expert in real-world data analytics and methodology. He highlights the critical importance of reproducibility in statistical programming and explains how the FAIR principles—making data and code Findable, Accessible, Interoperable, and Reproducible—can transform research practices. This episode is a must-listen for anyone involved in real-world evidence research, offering hands-on insights and step-by-step guidance to ensure your work is robust and transparent. Tune in to learn how to harness the power of Git and R for your own projects, ensuring that your data and results are both reliable and reproducible.
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    32 mins
Natural History
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