Course feedback

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1. Introduction to Bayesian reasoning, computation and BUGS
2. Learning from data using MCMC and BUGS
3. Introduction to health economic evaluation
4. Individual level data in health economics
5. Aggregated level data
6. Evidence synthesis and network meta-analysis
7. Model error and structural analysis
8. Survival analysis in HTA
9. Markov models
10. Missing data in cost-effectiveness modelling
11. Introduction to Value of Information
12. Expected value of partial information
13. Expected value of sample information
14. Generating data for the analysis of the EVSI
15. Calculating expected value of sample information
16. Regression-based EVSI


Lecture slides
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R practicals
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Definitely - I will modify my workflow to include some or all of these
May be - I will try and use these and convince my boss/colleagues of their usefulness
Probably not - they are too complicated
Definitely not - I don’t think they were useful at all

  • Not so much
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Definitely
May be
Probably not
Definitely not

Gianluca Baio

Anna Heath

Nathan Green