**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.

Registration is open until 1 June 2019 at https://onlinestore.ucl.ac.uk/conferences-and-events/faculty-of-mathematical-physical-sciences-c06/department-of-statistical-science-f61/f61-workshop-on-r-for-trial-modelbased-costeffectiveness-analysis

To submit an abstract, please send it to howard.thom@bristol.ac.uk with the subject “R for CEA abstract”. The word limit is 300. Abstract submission deadline is **15 May 2019** and the scientific committee will make decisions on acceptance by 1st June 2018.

**Preliminary Programme**

### Day 2: Workshop. Tuesday 9th July.

- 9:30-9:45. Howard Thom.
*Welcome* - 9:45-10:15. Nathan Green. Imperial College London. _Simple, pain-free decision trees in
`R`for the`Excel`user - 10:15-10:35 Pedro Saramago. Centre for Health Economics, University of York.
*Using*`R`for Markov modelling: an introduction - 10:35-10:55. Alison Smith. University of Leeds.
*Discrete event simulation models in*`R` - 10:55-11:10. Coffee
- 11:10-12:20. Participants oral presentation session (4 speakers, 15 minutes each)
- 12:20-13:45. Lunch
- 13:45-14:00. Gianluca Baio. University College London.
*Packing up, shacking up’s (going to be) all you wanna do!. Building packages in*`R`and Github - 14:00-14:15. Jeroen Jansen. Innovation and Value Initiative.
*State transition models and integration with network meta-analysis* - 14:15-14:25. Ash Bullement. Delta Hat Analytics, UK.
*Fitting and extrapolating survival curves for CEA models* - 14:25-14:45. Iryna Schlackow. Nuffield Department of Public Health, University of Oxford.
*Generic*`R`methods to prepare routine healthcare data for disease modelling - 14:45-15:00. Coffee
- 15:00-15:15.
*Initiatives for the future and challenges in gaining*`R`acceptance (ISPOR Taskforce, ISPOR Special Interest Group, future of the`R`for CEA workshop) - 15:15-16:30. Participant discussion.
- 16:30-16:45. Anthony Hatswell.
*Close and conclusions*