Online Course is Here (Exclusive Discount) + Causal AI Webinar + Mann-Whitney Is NOT About Medians

[COURSE] Introduction to Biostatistics—Unlocking the Secrets of Biostatistics with R, Python, and Real-World Datasets

My online course—built over more than a year with Alex Molak—is finally available!

We truly believe this course is unique, and let me tell you why.

Forget decision trees, flowcharts, and test-picking rules. This course will make you think like a statistician, a causally-aware one. Featuring:

• Over 10h of video lectures

• Podcast-style discussions between Alex and I about philosophical topics, our thoughts on non-parametric testing and log-transformations, and more

• Exercises and projects with real narratives and real datasets

• Coding throughout, with both R and Python

• Unique perspective combining traditional statistics material with discussions about experimentation vs. observations, causal inference, thought-experiments

• Certification path available for those that meet the requirements

Lesson 1—Introduction and Variable Types

• A Salmon, a Neuroscientists, and the “Best Practice” That Went Wrong

• Causality, Causal Inference, and Statistics

• AI, Machine Learning, and Data Science

• Biostatistics Today

Lesson 2—Descriptive Statistics

• Distributions: From Water Molecules to Supercomputers

• Mean, Medians, Percentiles, Robust statistics, and more

Lesson 3-6 + Capstone Project

• Visualizing Data

• Probability Distributions

• Hypothesis Testing

• Modelling

• Capstone Project

The live cohort we ran over last summer included: medical writers, engineers in big tech, biologists in biotech, and more.

This course is perfect if you’re tired of oversimplified heuristics and want to learn statistics properly, once and for all.

As a newsletter subscriber, you receive an exclusive 15% Discount, valid for a limited time.

Ready to think like a statistician?

What's The Plan?

• [COURSE] Introduction to Biostatistics—Unlocking t …

• [LINKEDIN LIVE WEBINAR] The Causal Mindset: Causal …

• My Monthly Book Recommendation

• Mann-Whitney Is Not About Medians

[LINKEDIN LIVE WEBINAR] The Causal Mindset: Causal AI For Decision-Making

Excited to announce the upcoming Linkedin Live Event with Quentin Gallea, PhD!

We will discuss:

• Measuring the Impact of Causal AI (prediction + causaity)

• Discovering Levers to Drive Business Outcomes

• Audience Q&A

• And more…

Broadcasting live on Linkedin and Youtube March 18, 12PM EDT/ 5PM CET/ 9AM PDT—excited to see you all!

Use the button below to go to Linkedin and click Attend to get a reminder

My Monthly Book Recommendation

Stephen Senn is an authority when it comes to pharmaceutical clinical trials.

As you know, statistics is not without controversy.

One-by-one, Stephen tackles methodological controversies in one of the most statistically sophisticated industries—drug development—and shares his perspectives with wit, incisive criticism, appropriate context, and more.

Of course, he wouldn’t be a true statistician if he didn’t include impactful visualizations, simulated data, and mathematical derivations to defend his points.

This book is advanced, and might not be easy to grasp in a first pass. But it will make you see and feel how deep and nuanced statistics can be.

One of my favorite books of all-time, I find myself going back to it early and often, when I need to think deeply about the challenges of my profession.

Mann-Whitney Is Not About Medians

This paper takes two angles to discuss what the (Wilcoxon)-Mann-Whitney U Test (WMW) is really about:

1. Mathematical manipulation of the test statistics

2. Simulated data showing extremely counterintuitive results

Learn why WMW is not about medians. You might just reach for the good old Welch’s T-test more often and save your data analyses—an approach I extensively discuss in my Intro to Biostatistics Online Course.