Big Month in Causal Inference: New Book Chapters, Journal Club, Free Code, and more... 🤯

Dear Causal Inference in Biostatistics Enthusiast,

Two Chapters from my Causal Inference Book Available Soon (including case-study code notebooks)

I’m currently wrapping up writing the Observational Studies and the Quasi-Experiments Chapters.

Check this out:

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 Code Notebooks, you now receive

• A 158 page PDF with the first 3 chapters

• 5 R code notebooks

• Continuous updates to the material

• Receive the new parts of the book upon release (2 new chapter + 4 additional notebooks)

• 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?

• Two Chapters from my Causal Inference Book Availab …

• New Causal Inference Nerds Journal Club - 1st Edit …

• Introduction to Biostatistics Online Course

• Marginal Effects - What the $%#@

• biostatistics.ca Launched a Newsletter and a FREE …

• Time-to-event (or Survival) Analysis, 8+ Tutorials …

• biostatistics.ca Collaborations and Partnerships

• My Experience in Consulting

• Other (FREE) Resources You Might Like

New Causal Inference Nerds Journal Club - 1st Edition! 🤓 

Whether you're a student, researcher, practitioner, or just curious, this is a great place to:

• 📖 Discuss recent papers

• 💬 Ask and answer questions

• 🧪 Share resources and code

• 🌍 Connect with like-minded peers

***Our first edition will be held TOMORROW on June 4, 1:30PM Eastern Time***

📗 Topic: "relative ignorability", which describes when nonignorable missingness doesn't matter for your data. We will explore this phenomenon in the context of unobserved confounding, which results in nonignorable missingness.

All levels welcome, from beginners to experts.

Once in the discord ➡️ voice channels ➡️ journal-club, the event will be held there!

Introduction to Biostatistics Online Course

I’ve teamed up with the great Aleksander Molak, author of Causal Inference and Discovery in Python, to deliver my first online course, Intro to Biostats, and we are going through our first Founding Cohort.

We’re almost done with the founding cohort - the self-paced version of the course will then be available for everybody!

In case you missed it, a sample of the material is available for free!

Marginal Effects - What the $%#@

If you use statistical models for inference (e.g. fitting a regression and interpreting p-values and confidence intervals) and you don't know how tu use and interpret Marginal Effects, you're missing out on a HUGE piece of knowledge.

I still can't believe it exists, and it's free!

biostatistics.ca Launched a Newsletter and a FREE Github library with code

We’re expanding out content: to weekly articles, we now added a newsletter and free repository to share code notebooks!

Time-to-event (or Survival) Analysis, 8+ Tutorials with code!

We are launching an extensive series of tutorials with code with our collaborator Shishir Rao on Survival Analysis.

Shishir has a background in Engineering/Statistics. After more than a decade working in the energy industry, he is currently exploring independent consulting in the field of reliability analytics.

His blog post series is amazing - it’s basically a full intro course on survival analysis, with code and everything!

biostatistics.ca Collaborations and Partnerships

Two ways you can help the biostatistics community.

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 1k+ clicks a month—this is a great way to drive traffic to a link of your choice

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 30-75 clicks in the first week).

     • We drive leads to your services.

     • This also creates a backlink to a fast growing website (over 10x traffic in under a year).

     • It’s the best time to join us!

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

My Experience in Consulting

I’m currently close to being fully booked for 2025 - what a blessing! - so reach out to secure a spot if you think I can help :)

Areas of expertise:

• _{Causal Inference and Real-World Evidence}

• _{Biotech/Biopharma/Non-Clinical Research and Chemistry, Manufacturing, and Control}

• _{R&D Industry Scientists/Design of Experiments (both in the lab and in the field)}

• _{Social Sciences (psychology, sociology, economics, and more)}

• _{Biomedical Sciences}

• _{Data Visualization}

• _{Discrete Choice Experiments and Surveys}

I offer:

• _{Statistical Consulting Services}

• _{Training/Workshops}

• _{Public Speaking/Guest Lectures}

• _{Other Custom Services}

Here's what a recent R&D scientist in biotech whom I’ve collaborated with for over a year had to say:

" [...] Immediately from our first call, Justin stood out from other candidates that I have considered: he was highly knowledgeable about the underlying theory behind various statistical approaches, and he could clearly explain when and why I should use them. Furthermore, he was unique in appreciating the need to balance academic rigour with the realities of running biological field trials (i.e., uncontrollable variables, time, cost).

[...] I have learned much theory and practice from him, and our collaborations have resulted in real business impact. [...] I look forward to continuing our collaboration!"

Other (FREE) Resources You Might Like