Module 3: Diagnostic Tests and Bayes' Rule

This asynchronous module consists of a video lecture and its corresponding slides, an article from the Wisconsin Medical Journal, a handout with further information, a quiz to test understanding, and a reflection activity.

Module 3 Materials

Required Reading

  • Calder, Gavinski, Patel, Statistical Thinking Part 3: Interpreting Diagnostic Tests with Probabilistic Thinking

Required Viewing

  • Video - Module 3

Optional Reading

  • Annotated Slides for Module 3
  • Module 3 Handout

Optional Listening

  • Voiceover of Required Reading (Calder, Gavinski, Patel)

Target Audience

  • Physicians
  • Pharmacists
  • Residents

Learning Objectives

Participants who engage in this educational intervention will be able to:

  • Apply Bayes' Rule and the Likelihood Ratio using a story-like format.
  • Intuitively understand the metrics of sensitivity, specificity, and positive/negative predictive power.
  • Interpret a receiver operating characteristic curve to determine how well a diagnostic test discriminates between the diseased and non-diseased.
  • Explain how positive predictive value correlates with disease prevalence.
Additional information

Contact

Name: 
Brian Tomczyk
Phone Number: 
+1 (414) 435-8666
Email: 
[email protected]
Course summary
Course opens: 
06/22/2026
Course expires: 
12/31/2026
Cost:
$0.00
Part of: 
Statistical Thinking in Medicine: Applying Biostatistics in Clinical Practice

Price

Cost:
$0.00
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