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- Major Announcement! š£
Major Announcement! š£
And more surprises inside...
Justin Belair
December 02, 2024
Dear Causal Inference in Biostatistics Enthusiast,
Iām proud to announce my new book : Causal Inference in Statistics, with Exercises, Practice Projects, and R Code Notebooks!
The first Chapter is already available to download for freeāisnāt that cool?
The rest will be released in 3 parts:
Early 2025: PART I ā Fundamentals of Causal Inference (Chapters 1-4, ~ 200 pages)
Mid 2025: PART II ā The Causal Inference Toolkit (Chapters 5-9, ~ 200 pages)
End 2025: PART III ā Advanced Causal Inference (Chapters 10-12, ~ 150 pages)
If you want to support me while I work on my book, you can pre-order it at the early-bird ultra-discounter price.
Donāt worry, Iāll pay a cover designer before publishing the final version ;)
The best way to stay updated on my writing progress is through this newsletter and Linkedin.
Book writing updates:
Iām finishing Chapter 3 on graphical causal models. Itās quite hefty, and will probably end up being around 60 pages with the code and everything.
Chapter 4 is going to be by far the most difficult Chapter to write, as I want to cover observational studies, but Iām not sure about how to do so. I want to cover classic observational designs as seen in epidemiology, but I want to also cover the counterfactual approach to causal inference as it will tie in Chapter 2 on potential outcomes with Chapter 3.
All while finding an interesting narrative threadā¦ I first thought about discussing the debate around smoking and lung cancer, but I think it fits nicely in the intro. Maybe Iāll revisit the topic, or tackle the polio vaccine case. Iām not sureā¦*
Let me know what you think by replying directly to this message!
*One thing that is for sure is that I am going to escape Canadian winter for about a full month as I go down South to the warmer parts of the continent for the first time in my lifeāthat is where I plan on finishing Chapter 4 and publishing Part I of the book (Chapters 1-4). I canāt wait!
What's Today's Plan?
What Are P-values And Why Are They So Problematic?
P-values are by far the most discussed statistical topic in history (I donāt have evidence, but trust me, itās true!)
They are often criticized, distrusted, misused, misinterpreted, and, on the flipside, used everyday in every single empirical study.
So, what are p-values and why are they so problematic?
Need Help With Stats? Please, Reach Out :)
This time of year, Iām usually fully booked, but I was able to free up some time for new and interesting research projects.
Who knows? You might be my next great collaboratorāplease, donāt hesitate to reach out if you think I can help.
I offer a free 30 minute consultation!
Did you know I offer comprehensive data science and analytics services? From strategic data solutions to advanced predictive modeling, I can support your team in unlocking the potential of your data.
Ready to discuss how I can help?
Learn More About P-Values (Reading List With Links)
Here's a small reading list that will make you sharp when interpreting statistical output from your favorite software š
THE resource for all p-value misinterpretations by a collection of eminent statisticians. Must be read and re-read!
The title says it all...it's an easy mistake to make!
Power is a widely misunderstood statistical concept. Study it!
Steven Goodman, A Dirty Dozen: Twelve P-Value Misconceptions, 2008
The title says it all.
Harvey J. Motulsky, Common misconceptions about data analysis and statistics, 2014
Goes over many misconceptions. It is quite beginner friendly, take a look!
I share more small, digestible reading lists in my Github Repo.
Check it out and Star it on Github if you like it ā
Bioequivalence Study Sample Size Calculator Based on Rās powerTOST package
I founded biostatistics.ca earlier this year as a project looking to provide reliable, high-quality information to the biostatistics community.
I spent a good portion of last week working on innovative tools with biostatistics.ca co-founder, and we were able to deploy an app to the website.
Humble Brag(s)
Two fascinating projects Iāve co-authored are in the process of being published in peer-reviewed papers.
In both cases, my collaborators were so enthusiastic about my work that they took the time to each share a testimonial on my websiteāIām so touched!
His technical expertise and statistical knowledge is exceptional.
I would happily work with Justin again and definitely recommend him to others needing a statistical consultant.
I also gave my About Me page a makeover!
Iām curious to know what you think about it.
Revisiting Our Linkedin Live Podcast
Last month, Bobbie Rachford and I had a great time during our Live event where we discussed power calculation and sample size estimation.
A lot of people attended and a lot of great questions were asked.
We will share clips from the recording every week for the next few weeks on Linkedin!
Until next time.
Yours truly,
Justin
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