The course will involve a series of modules that build on each other to provide an overview of all the steps required for health economic evaluation.
Study Design Principles (morning)
- Overview of cost-effectiveness analysis?
- What health economic data need to be collected?
- Summary of key data sources including: clinical trials; linked administrative data; synthesis of the literature
Techniques for Analysing Outcomes (afternoon)
- Quantifying outcomes using life tables and an overview of survival analysis techniques including Kaplan Meier, as well as parametric survival functions
- Capturing and analysing preference based measures of quality of life
Techniques for Analysing Costs (morning)
- Features of cost data
- Regression methods for analysing health care cost data
Introduction to decision models (afternoon)
- Building a decision tree
- Introduction to TreeAge including defining transitions and rewards in terms of costs and utilities
Markov modelling and Applications
Conducting cost-effectiveness analysis including modelling Quality Adjusted Life Years (QALYs) and costs
- Capturing uncertainty and sensitivity analysis
- Presenting and interpreting results for decision makers
Each module will be re-enforced by exercises in Excel and the specialist modelling software TreeAge and we will demonstrate aspects of the course using the statistical software STATA.
Professor Andrew Palmer, Head of Health Economics Research Unit, Menzies Research Institute, Tasmania
Andrew Joshua Knight