• View the Talks
• 42 min
  1. Bayesian methods in health economics: Bayesian principles 1

  • Prof. Anthony O’Hagan
• 43 min
  2. Bayesian methods in health economics: prior distributions 2

  • Prof. Anthony O’Hagan
• 44 min
  3. Bayesian methods in health economics: uncertainty in health economic evaluation 3

  • Prof. Anthony O’Hagan
• 56 min
  4. Bayesian methods in health economics: probabilistic sensitivity analysis 4

  • Prof. Anthony O’Hagan
• 50 min
  5. Bayesian methods in health economics: formulating input uncertainty 5

  • Prof. Anthony O’Hagan

Printable Handouts

PDF

Navigable Slide Index

1. Introduction
2. Interest in Bayesian methods
3. Course outline
4. Talk outline
5. The Bayesian paradigm
6. The Bayesian method (1)
7. The Bayesian method (2)
8. The Bayesian method (3)
9. Example: prior distribution
10. Example: the first year’s data
11. Example: the first year's triplot
12. Example: the second year's data
13. Example: the second year's triplot
14. First Bayes
15. Formulating prior distributions
16. Computing tools
17. Bayesian vs. frequentist
18. Statistical inference
19. The nature of probability
20. The nature of parameters
21. The use of prior information
22. The nature of inferences
23. The nature of inferences: posterior density plot
24. The nature of inferences: contour plot
25. Bayes is better!
26. Concluding remarks

Topics Covered

• Bayesian statistics
• Frequentist statistics
• Bayesian vs. frequentist approach
• Prior distribution
• Triplots
• Posterior distribution
• Statistical computational tools
• Statistical inference
• The nature of parameters
• The use of prior information
• The nature of probability

Links

Series:

• Bayesian Methods in Health Economics

Categories:

• Methods

Talk Citation

Publication History

• Published on February 16, 2009
• Reviewed on March 30, 2022

Financial Disclosures

• Prof. Anthony O’Hagan has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.