CHE Seminar Series: A gradient-based approach for model-based economic evaluation
Decision analytic modelling is widely used to estimate the costs and benefits of health technologies and to understand the quantity and sources of uncertainty facing decision makers. Sensitivity analyses, probabilistic analyses, and value of information analyses are used by decision makers, but they can be time consuming to produce when they rely on Monte Carlo methods. In this presentation, an alternative to Monte Carlo methods based on gradients is presented. One-way sensitivity analyses, probabilistic analyses (including cost-effectiveness acceptability curves), and value of information analyses (expected value of perfect information and expected value of perfect parameter information) are presented with examples.
Speaker profile
Tristan Snowsill is a Senior Lecturer in Health Economics at the University of Exeter, with particular expertise in model-based economic evaluation. He has a strong interest in the methods for health economic modelling and in the application of techniques from engineering, computer science and statistics to improve the efficiency and flexibility of decision analytic models.
Weekly seminar series
As part of our Centre's vibrant research culture, we host a weekly seminar series. Visiting and invited researchers present current research relating to the economics of health and wellbeing, and the healthcare sector. Visitors are welcome to join these sessions where discussion and debate is encouraged.
For further information on our seminar series, please contact shannon.stanwell@monash.edu.
Zoom link
https://monash.zoom.us/j/82881046962?pwd=iJV7ch5Y67cybrv4rJT7aizUrmmpjJ.1
Event Details
- Date:
- 26 June 2024 at 3:00 pm – 4:00 pm
- Venue:
- Online (Link below)
- Categories:
- CHE Seminar; General
Description
Decision analytic modelling is widely used to estimate the costs and benefits of health technologies and to understand the quantity and sources of uncertainty facing decision makers. Sensitivity analyses, probabilistic analyses, and value of information analyses are used by decision makers, but they can be time consuming to produce when they rely on Monte Carlo methods. In this presentation, an alternative to Monte Carlo methods based on gradients is presented. One-way sensitivity analyses, probabilistic analyses (including cost-effectiveness acceptability curves), and value of information analyses (expected value of perfect information and expected value of perfect parameter information) are presented with examples.
Speaker profile
Tristan Snowsill is a Senior Lecturer in Health Economics at the University of Exeter, with particular expertise in model-based economic evaluation. He has a strong interest in the methods for health economic modelling and in the application of techniques from engineering, computer science and statistics to improve the efficiency and flexibility of decision analytic models.
Weekly seminar series
As part of our Centre's vibrant research culture, we host a weekly seminar series. Visiting and invited researchers present current research relating to the economics of health and wellbeing, and the healthcare sector. Visitors are welcome to join these sessions where discussion and debate is encouraged.
For further information on our seminar series, please contact shannon.stanwell@monash.edu.
Zoom link
https://monash.zoom.us/j/82881046962?pwd=iJV7ch5Y67cybrv4rJT7aizUrmmpjJ.1