Introducing Stats4PT
Where Statistics Meets Clinical Reasoning
I’m happy to introduce Stats4PT, a space dedicated to exploring statistical reasoning and causal inference through the lens of critical realism — tailored specifically for physical therapists, educators, clinicians, and researchers. Posts like this one will announce new content, but the core of Stats4PT are pages so that the content stays logically organized in the sequence it is released.
Why Stats4PT?
In clinical practice, statistics aren’t just about crunching numbers — they’re about understanding the reality those numbers represent, the limits of our measurements, and how we can make better decisions in patient care.
At Stats4PT, we’ll dive into:
Statistical Inference & Induction
Bayesian Reasoning in Clinical Contexts
Causality and Mechanisms Beyond Data
Practical Tools in Python & R for Data Analysis
Teaching Statistical Reasoning to Future Clinicians
All grounded in critical realism — embracing Bhaskar's empirical, actual, and real domains to connect what we measure to the structures and mechanisms behind the data.
What to Expect
Core Pages: Structured, evergreen resources exploring key statistical and causal reasoning topics.
Announcement Posts: Each new page comes with a brief post so you never miss an update.
Interactive Elements: Videos, case studies, and hands-on R/Jamovi workflows.
Community Discussion: Share your insights, ask questions, and engage in meaningful dialogue.
Start Here
👉 Check out the Stats4PT Welcome Page
Bookmark it, subscribe, and get ready to rethink how statistics shape your clinical reasoning.
First Topic Drops This Saturday!
Our first core page will be released on Saturday, where we’ll set the stage for everything to come. Make sure you're subscribed so you don’t miss it!
Stats4PT: Where Data Meets Ontology, and Statistics Become a Tool for Understanding.
See you on Saturday!