Lectures in Bayes Theorem
- Lecture 1: What Is Bayes Theorem?
- Lecture 2: What Is The Sensitivity Of A Test?
- Lecture 3: What Is The Specificity Of A Test?
- Lecture 4: A More Comprehensive Equation
- Lecture 5: A More Comprehensive Equation: Another Method
- Lecture 6: A More Comprehensive Equation: Another Method
- Lecture 7: The Tree Diagram
- Lecture 8: What Happens If The Disease Is Rare?
- Lecture 9: What Happens If The Disease Is Very Rare?
- Lecture 10: What Happens If The Disease Is Very, Very Rare?
- Lecture 11: What Happens If Disease Is Very, Very Rare & Better Testing?
- Lecture 12: What If We Run The Test Again?
- Lecture 13: What If We Run The Test Again And Again?
- Lecture 14: What Is Positive Predictive Value (Ppv)?
- Lecture 15: What Is Negative Predictive Value (Npv)?
- Lecture 16: Ppv & Npv Numerical Examples
- Lecture 17: Prevalence, Sensitivity, Specificity, Ppv, Npv
- Lecture 18: Simple Form Of The Definitions
- Lecture 19: Determining Sensitivity And Specificity
- Lecture 20: Effects Of The Test Results: Example 1
- Lecture 21: Effects Of The Test Results: Example 2
- Lecture 22: Example Of Table Format: Step 1
- Lecture 23: Example Of Table Format: Step 2
- Lecture 24: Example Of Table Format: Step 3