The Effective Statistician - in association with PSI

The Effective Statistician - in association with PSI

The Effective Statistician - in association with PSI

Behind the Scenes of Writing a Book About Casual Inference

Download it: MP3 | AAC | OGG | OPUS

Key points:

  • Causal Inference – Hot topic in statistics
  • Justin Belair – Guest, statistician, book author
  • Book Writing – Motivation, challenges, process
  • Balancing Content – Theory, real-world applications, coding exercises
  • Effective Writing – Strategies, focus, overcoming obstacles
  • Practical Tools – Applying causal inference in work
  • Inspiration – Insights for statisticians and aspiring authors
  • Tune In – Engaging discussion, learning opportunity

Writing a book on a complex topic like causal inference takes dedication, clarity, and a deep understanding of both theory and practice.

In this episode, Justin Belair shares his journey, insights, and practical strategies for mastering causal inference and making statistical concepts more accessible. Whether you're a statistician, data scientist, or simply curious about this evolving field, you’ll gain valuable takeaways that can enhance your work.

Don’t miss out—tune in now to hear our full conversation! And if you found this episode helpful, share it with your friends and colleagues who could benefit from Justin’s insights.

I’m thrilled to share that my book, “How to Be an Effective Statistician – Volume 1”, is now available! 

It’s packed with insights to help statisticians, data scientists, and quantitative professionals excel as leaders, collaborators, and change-makers in healthcare and medicine.

Check out the testimonials and grab your copy!

Boost Your Leadership with MDLC!

The Medical Data Leaders Community (MDLC) gives you the tools and support to grow your leadership skills, expand your influence, and drive meaningful change in healthcare research. Whether you're just starting or already leading a team, this community helps you take your career to the next level

Learn more here!

In this episode, Justin Belair shares his journey, insights, and practical strategies for mastering causal inference and making statistical concepts more accessible. Whether you're a statistician, data scientist, or simply curious about this evolving field, you’ll gain valuable takeaways that can enhance your work.

Don’t miss out—tune in now to hear our full conversation! And if you found this episode helpful, share it with your friends and colleagues who could benefit from Justin’s insights.

Check out his book here:

Causal Inference in Statistics with Exercises, Practice Projects, and R Code Notebooks


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About this podcast

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.

by Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry

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