Economic Evaluation Modelling Using R
Bookings for this course have now closed.
An online short course
This course aims to teach the use of R for building decision tree and Markov models for economic evaluation and value of information analysis.
| Course date | 23 - 24 May 2022 |
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| Course fee | £440 |
| Course structure | Taught over 2 consecutive full days. |
| Course Organisers | Dr Howard Thom & Dr Mary Ward |
Prerequisites
Please ensure you meet the following prerequisites before booking:
| Knowledge | You must have at least basic experience using R for statistical analysis. Experience with R is essential (to the level of the Introduction to R short course) but we will review the necessary aspects of R on the first day. You must have experience with decision trees and Markov models (value of information desirable but not necessary). Knowledge of cost-effectiveness analysis, specifically on decision trees and Markov models, will be assumed (to the level of the Introduction to Economic Evaluation short course). |
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| Software | You must have R (version 3.6.1 or higher) and RStudio (version 1.2.5 or higher) installed in advance of the course. |
Course format
This 2-day course will be online with roughly 50% lectures that will explain theory and demonstrate coding, and 50% practicals that give the participants exercises to implement what they have been shown. Lectures and practicals will be delivered live.
Course objectives
- Build a decision tree model.
- Build a Markov model.
- Incorporate uncertainty in model inputs in an economic model.
- Conduct a value of information analysis.
Who the course is intended for
This course is intended for anyone undertaking model based cost-effectiveness analyses. We welcome attendees from academia, government, or industry.
Knowledge of cost-effectiveness analysis, specifically on decision trees and Markov models, will be assumed (to the level of the Introduction to Economic Evaluation short course). Experience with R is essential (to the level of the Introduction to R short course) but we will review the necessary aspects of R on the first day.
Course outline
Day 1
Intro to R using health economic examples.
Decision trees (deterministic and probabilistic).
Advanced topics in R (program flow, input/output, functions).
Day 2
Basic Markov models.
Advanced Markov models.
Value of information.
Book a short course
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Overall I thought the course was outstanding, definitely one I'd recommend.