- Causal Inference in Statistics
- Posts
- Online Version of My Book, Exclusive Meme, New Blog, Code Notebooks, Youtube Exclusives, and more💜
Online Version of My Book, Exclusive Meme, New Blog, Code Notebooks, Youtube Exclusives, and more💜
Explore the latest in causal inference. Collaborate, learn, and grow with thousands of fellow learners.
Justin Belair
September 01, 2025
Dear Causal Inference in Biostatistics Enthusiast,
Last month, I took a break from the newsletter, and I missed it! We’re back now with a lot of exciting news and updates.
Are you ready? Let’s go!
[BOOK] Online Version Coming Soon 🥳
UPDATE: I’ve upgraded my book quite a bit. To all those who preordered, expect an online version soon, to go along with the pdf! The physical version will come after writing the whole thing.
I’m currently wrapping up Chapter 4 — Removing Confounding and Propensity Score Methods—, Chapter 5 —The Art of Observational Studies: Pragmatically Bridging Causal Frameworks—, and Chapter 7—Quasi-Experimental Designs: Simulated Randomness.
Check this out:
Chapter 4 Case-Study: a famous study of Right Hearth Catheterization. The original study did not visualize the data and used outdated Propensity Score Methods — we will remedy this together!
The case-study code-notebooks in these Chapters are easily the best I wrote so far!
If you pre-order my Causal Inference in Statistics, with Exercises, Practice Projects, and R/Python Code Notebooks, you now receive
A 158 page PDF with the first 3 chapters
5 R code notebooks
Receive the new parts of the book upon release (3 new chapters + 6 additional notebooks, coming soon) and any updates to the material via Github
A pre-order for the full book once it is complete
You can order now - You will be the first to receive the new material when it launches 😋
What's The Plan?
FRESH MEME ALERT
We all know that feeling 😅
[CODE NOTEBOOK] New Blog on Welch’s T-Test
Welch’s T-test is the default in R.
I advise to NOT perform Levene’s test for homogeneity of variance to decide if a standard t-test or a Welch’s t-test for unequal variances should be applied.
I’ve written a short blog and am giving you a free code notebook to try for yourself—check it out!
@_thestatsnerd Is Back on Youtube!
All my new video content will be on Youtube
Listen to my podcast with Dr. Christian Geiser, a Structural Equation Model expert and educator at Quantfish, an amazing e-learning platform.
Expect exclusive Youtube content in the future.
[DISCORD] Causal Inference🤓 Journal + Book Club
Whether you're a student, researcher, practitioner, or just curious, this is a great place to:
📖 Discuss important papers or books
💬 Ask and answer questions
🧪 Share resources and code
🌍 Connect with like-minded peers
Journal Club #3 — Recap
Our discussion emphasized how DAGs (causal diagrams) help clarify competing causal explanations for links between Group B Streptococcus colonization, invasive disease, and preterm birth.
The discussion highlighted a central causal inference challenge: we can’t resolve competing DAGs with observational data alone—RCTs and well-designed longitudinal studies will be crucial.
🙏 Thanks to everyone who joined the conversation. Next month, Andy Wilson will be leading Journal Club #4, stay tuned!
Once in the Discord ➡️ voice channels ➡️ journal-club or book-club, the events will be held there!
[COURSE] Introduction to Biostatistics — Exclusive Discount
Aleksander Molak and I have finished the Founding Cohort.
We’re currently working hard on creating the material for the self-paced version that will be available online.
We will offer an exclusive discount to those who join the waiting list, as a token of appreciation for their patience.
📊 For anyone interested in statistics, especially causal inference, I just finished a cohort course with Justin Bélair and Aleksander Molak and it was 🔥. I highly recommend them. They are the best course creators I’ve met. They mix statistics with philosophy and use thought experiments to teach. They genuinely care about feedback and encourage real discussion.
Best Regression Books with Reviews | The Full List
Regression models are the backbone of empirical work.
Fundamentals, Bayesian approaches, Multilevel/Hierarchical/Mixed models, Survival analysis, GAM, quantile regression, GLM, and more
We got you covered!
Consulting—Training and Workshops
You may already know that I’m a University Lecturer and that my passion is teaching 💜
I offer training and workshops in causal inference, real-world evidence, and biostatistics.
I’ve trained
Pharma RWE teams
Industry scientists in biotech
Research Labs
My approach is engaging, warm, and thorough.
Ready to discuss how I can help?
Until next time.
thestatsnerd,
Justin
Reply