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- Causal Webinar Code Notebook+ Book Updates and more
Causal Webinar Code Notebook+ Book Updates and more
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Justin Belair
May 06, 2026
Dear Causal Inference in Statistics Enthusiast,
Short and sweet today.
[CODE + VIDEO] Your Model is Accurate (and Wrong)—Causal Inference for Data Scientists
A few weeks ago, I held a free one-hour interactive webinar titled Your Model is Accurate (and Wrong)—Causal Inference for Data Scientists.
We covered simple examples where highly accurate well-fitting models (R-square = 0.99) hide huge bias.
You don’t need a causal inference Ph.D to understand how confounder bias, collider bias, and mediation can be understood using simple data structures called Directed Acyclic Graphs.
Enjoy!
If you want to go deeper, Chapter 3 of my book Causal Inference in Statistics with Exercises, Practice Projects, and R Code Notebooks covers these ideas in much more depth (50 pages and a code notebook simulating many more structures). The 1st chapter is free.
What's The Plan?
[BOOK] Writing Updates
What I’ve done in the past few months towards my book.
Created an online version of the book accessible to those who pre-ordered. Check out a video preview here.
Developed new material for Chapter 4: Adjusting for Measured Confounding and Propensity Score Methods.
Worked on the R code notebook for Case-study: The Right Heart Catheterization Dataset, which will serve to illustrate implementations of adjustment methods such as regression, stratification, matching, and different propensity score techniques.
Started planning for converting the case-studies in Python.
Check out the first chapter for free with the button below.
[COURSE] New Features
A few new things regarding the course Introduction to Biostatistics: Unlocking the Secrets of Biostatistics with R, Python, and Real-World Data:
Free lessons
A completion certificate
New 5-star reviews
⭐⭐⭐⭐⭐
I didn’t know what to expect, but it turned out to be a great course. I especially appreciated the practical insights Justin and Alex shared in the "mini podcasts" which go well beyond what I’ve seen in other courses in the past.
Thanks, Henry! So glad that this course went above your expectations 🙂
Until next time.
thestatsnerd,
Justin
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