The latest Stats4PT lesson is now available!
Lesson 5: Bayes’ Theorem in Clinical Decision-Making
This lesson brings Bayesian reasoning directly into the clinical moment—diagnosis and through classification into treatment, and prognosis—showing how Bayes’ Theorem offers a framework for making decisions under uncertainty.
We explore:
How practice flows as a series of belief updates
Why abduction (inferring cause from observed effect) is central to clinical work
Strategic planning using diagnostic accuracy research
Ways to reflect in and on practice using Bayesian reasoning
This continues our effort to connect reasoning, statistics, and causality in meaningful, clinician-centered ways. Looking forward to your thoughts and reflections!