Economic Evaluation Modelling Using R

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 19 - 20 April 2021
Course fee £440
Course Organisers Dr Howard Thom & 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).
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

  1. Build a decision tree model.
  2. Build a Markov model.
  3. Incorporate uncertainty in model inputs in an economic model.
  4. 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.

Online Course Bookings


Bookings are open for online courses running in 2021.

I think this was the best short course I've been on - really excellent explanations of how health economics analysis works in practice, with excellent worked examples.

Course feedback, March 2019

Coronavirus (COVID-19)

We may need to make responsive changes to our courses at short notice in order to follow the latest Public Health, Government and University guidance on coronavirus (COVID-19).

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