R for trial and model-based cost-effectiveness analysis
9 July 2019, University College London
Background and objectives
It is our pleasure to announce a workshop and training event on the use of R for trial and model-based cost-effectiveness analysis (CEA). This follows our successful workshop on R for CEA in 2018.
Our event will begin with a half-day short course on R for decision trees and Markov models and the use of the BCEA package for graphical and statistical analysis of results; this will be delivered by Gianluca Baio of UCL and Howard Thom of Bristol University.
This will be followed by a one-day workshop in which we will present a wide variety of technical aspects by experts from academia, industry, and government institutions (including NICE). Topics will include decision trees, Markov models, discrete event simulation, integration of network meta-analysis, extrapolation of survival curves, and development of R packages.
We will include a pre-workshop virtual code challenge on a problem set by our scientific committee. This will take place over Github and a Slack channel with participants encouraged to submit final R code solutions for peer review on efficiency, flexibility, elegance and transparency. Prizes will be provided for the best entry.
Participants are also invited to submit abstracts for potential oral presentations. An optional dinner and networking event will be held on the evening of 8th July.
Fees and a preliminary programme are provided below.
| Event | Date | Fee | Available places |
|---|---|---|---|
| Short course introduction to R for CEA modelling | Monday 8 July | £150 | 20 |
| Networking event Dinner | Monday 8 July | £30 | — |
| R for CEA workshop | Tuesday 9 July | £60 | 120 |
Programme
Day 1: Introduction to R for Cost-Effectiveness Modelling. Monday 8th July.
- 13:00-13:15. Howard Thom. Welcome and introductions
- 13:15-13:45. Howard Thom. Building a decision tree in R
- 13:45-14:15. Gianluca Baio. Using BCEA to summarise outputs of an economic model
- 14:15-14:45. Practical 1 (Decision trees)
- 14:45-15:00. Coffee break
- 15:00-15:45. Howard Thom. R for building Markov models
- 15:45-16:15. Gianluca Baio. Further use of BCEA
- 16:15-17:00. Practical 2 (Markov models)
Day 2: Workshop. Tuesday 9th July.
- 10:00-10:10. Howard Thom. Welcome
- 10:10-10:40. Nathan Green. Imperial College London. Simple, pain-free decision trees in R for the Excel user
- 10:40-11:10. Pedro Saramago. Centre for Health Economics, University of York. Using R for Markov modelling: an introduction
- 11:10-11:20. Anastasiia Zharinova. NHS Midlands And Lancashire Commissioning Support Unit. The NHS-R Community Collaboration
- 11:20-11:35. Coffee
- 11:35-11:55. Angela Devine. Menzies School of Health Research and Charles Darwin University, Australia. Using R to model the cost-effectiveness of options for the management of Plasmodium vivax infections
- 11:55-12:15. David Tordrup. Triangulate Health Ltd / WHO Collaborating Centre for Pharmaceutical Policy and Regulation, UK. A national population cohort model incorporating age structure and population growth in 15 countries in R/HEEMOD
- 12:15-12:35. Arantzazu Arrospide. Debagoiena Integrated Health Organisation, Alto Deba Hospital, Spain. Using R to incorporate uncertainty in discrete event simulation modelling: problems and solutions
- 12:35-12:55. James O’Mahony and Yi-Shu Lin. Trinity College Dublin, Ireland. A Simplified Model of the Cost-Effectiveness of Screening: An Open-Source Teaching and Research Tool Coded in R
- 12:55-13:00. Gianluca Baio. University College London. Packing up, shacking up’s (going to be) all you wanna do!. Building packages in R and Github
- 13.00-14.30. Lunch
- 14:30-14:45. Jeroen Jansen. Innovation and Value Initiative. State transition models and integration with network meta-analysis
- 14:30-14:40. Ash Bullement. Delta Hat Analytics, UK. Fitting and extrapolating survival curves for CEA models
- 14:40-15:00. Claire Simons and Iryna Schlackow. Nuffield Department of Public Health, University of Oxford. Generic R methods to prepare routine healthcare data for disease modelling
- 15:00-15:15. Coffee
- 15:15-15:30. Initiatives for the future and challenges in gaining R acceptance (ISPOR Taskforce, ISPOR Special Interest Group, future of the R for CEA workshop)
- 15:30-16:30. Participant discussion.
- 16:30-16:45. Anthony Hatswell. Close and conclusions
Scientific Committee
Howard Thom, University of Bristol
Gianluca Baio, University College London
Anthony Hatswell, Delta Hat Limited and University College London
Nathan Green, Imperial College London
Iryna Schlackow, University of Oxford
Claire Williams, University of Bristol
Pedro Saramago Goncalves, University of York
Padraig Dixon, University of Bristol
Boby Mihaylova, University of Oxford
Nicky Welton, University of Bristol
