📖 The Online Edition of Causal Inference in Statistics Is Here!

Dear Causal Inference in Statistics Enthusiast,

[NEW] Online Version Available to Book Readers

My book now has an exclusive online version for those who pre-ordered, thanks to the dedicated work of my co-author, Bastien Chassagnol.

He worked hard behind the scenes to make the computational aspects of publishing a book both in PDF and online feasible. Thank you, Bastien!

You should have received your online access codes by email—reach out if you need anything. Here’s a sneak peak:

My roadmap for the book:

1. Next month: Release Chapter 5 —The Art of Observational Studies: Pragmatically Bridging Causal Frameworks

   1. This 55-page monster chapter includes a case-study code notebook, dozens of thoughtful exercises, guidelines and frameworks for conducting observational studies, and discussions about target-trial emulation, negative controls, well-defined interventions, and more.

2. By the end of the year: Release Chapter 4 — Adjusting for Measured Confounding and Propensity Score Methods—, and Chapter 7—Quasi-Experimental Designs: Simulated Randomness.

   1. Chapter 7 is beautiful and covers a wide-array of quasi-experimental designs traditionally developed in social sciences.

   2. Chapter 4 contains an informative case-study where we reproduce a famous observational study and apply modern adjustment methods to it.

   3. Chapter 7 will likely come before Chapter 4, as I’ve been more inspired about this material lately.

3. Early 2026: Chapter 6—Causality by Proxy: The Logic of Instrumental Variables

   1. Randomization as an instrument, non-compliance in clinical trials, Mendenlian randomization, and a fascinating case-study. Stay Tuned.

4. Polishing the already-published material, ironing out inconsistencies between the web/PDF versions, and building out the outlines for the rest of the book.

5. Chapter 8—Structural Equation Models and Path Analysis, Chapter 9—Mediation and Interaction Analysis, Chapter 10—Time-Varying Confounding, and Chapter 11—Causal Artificial Intelligence and Machine Learning, will be the focus of my attention for early-mid 2026!

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

• An online version 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?

• [NEW] Online Version Available to Book Readers

  • My roadmap for the book:

• The Biostatistics Group—New Partnership Alert!

• The Biostatistics Group Is Looking For Writers and …

• I’m On Youtube And Spotify!

• [DISCORD] Causal Inference🤓 Journal + Book Club

  • Journal Club #4 — Recap

• [COURSE] Introduction to Biostatistics — Exclusive …

• Consulting—Training and Workshops

• Other (FREE) Resources You Might Like

The Biostatistics Group—New Partnership Alert!

The Biostatistics Group is proud to announce our partnership with Quantfish, who provide expert statistics training for health & social scientists.

Courses taught by world-leading methodologists in: Causal inference, statistics with R, data visualization, Structural Equation Modelling, and more.

The Biostatistics Group Is Looking For Writers and Partners

1. Become a writer. 

   • _{What’s in it for you?}

     • _{You showcase your expertise, including a short author profile and a link of your choice.}

     • _{Our website gets 2k+ clicks a month—this is a great way to drive traffic to a link of your choice and we share your article on Linkedin, where you can expect anywhere from 30 to 500 clicks, depending on the topic.}

2. Become an official partner - _{Career experts, educational orientation services, product-vendors in the biostatistics space, consultants, educational content creators, and more.} 

   • _{What’s in if for you?}

     • _{We write a blog about your offerings on our website (expect around 30-200 clicks in the first week). This also creates a backlink to a fast growing website (over 10x traffic in under a year).}

     • _{We drive leads to your services.}

Check out our new partnerships with Adoc Talent Management, Easy-Statistik, AInovate, and JB Statistical Consulting!

Interested? Email [email protected] or send me a DM!

I’m On Youtube And Spotify!

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 and Spotify content in the future.

[DISCORD] Causal Inference🤓 Journal + Book Club

Journal Club #4 — Recap

Andy talked about the credence framework, a method leveraging a modern AI technique, namely auto variational encoding, to generate synthetic data that captures the complexities and subtleties of real-world data.

This method promises to provide more effective benchmarking for modern causal super-tools such as TMLE, DML, and more.

🙏 Thanks to everyone who joined the conversation. Next month, Katherine Davis will be leading Journal Club #5, stay tuned!

Once in the Discord ➡️ voice channels ➡️ journal-club or book-club, the events will be held there!

The community hosts causal AI founders looking for co-founders, job postings, clubs, memes, and other exclusive community features—all free!

[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. What do you think about my setup?

We will offer an exclusive discount to those who join the waiting list, as a token of appreciation for their patience.

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.

I’m almost fully-booked, but could take on an additional workshop or training.

Other (FREE) Resources You Might Like