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R for HTA Showcase 2020

June 30, 2020 @ 8:00 am - 5:00 pm BST

We are excited to announce that the 3rd annual R for health technology assessment (HTA) showcase will take place on 30th June and that registration is now open. The showcase will take place at University College London. Presentations will consist of dives into examples of R code for HTA where participants are welcome to download the code being discussed and test it out in real time. Topics to be presented include efficient implementation of cohort Markov models, incorporating expert opinion into survival analysis, use of RShiny for user interface design, and infectious disease modelling. A provisional programme and is below. Registration is possible from

In addition, on 29th June we will be holding a training day with two courses. The first is an introductory course aimed at Excel users familiar with decision trees and Markov models who would like to start transitioning to R. Attendees should have basic to intermediate level experience with R. The second course is an intermediate course on how to get the best out of R for HTA. This is aimed at those who have been using R for HTA for a few years but would like to improve their skills. Full programmes are below and registration is through the website above.

Event Date, duration Price
Introduction to R for Cost-Effectiveness Modelling. 29th June. Half-day £180
Half-day course.

Being more productive in R: Lessons learnt the hard way.

29th June. Half-day £180
R for HTA showcase. One-day. £100. 30th June. One-day £100


Howard Thom and Gianluca Baio, co-directors of the R for HTA consortium.

Scientific committee

Anthony Hatswell

Boby Mihaylova

Claire Williams

Iryna Schlackow

James O’Mahony

Nathan Green

Nicky Welton

Padraig Dixon

Pedro Saramago




R for HTA Showcase. 2020.


Day 1. Training day. 29th June 2020

Introduction to R for Cost-Effectiveness Modelling (Howard, Gianluca)

9:00-9:15. Howard Thom. Welcome and introductions

9:15-9:45. Howard Thom. Building a decision tree in R

9:45-10:15. Gianluca Baio. Using BCEA to summarise outputs of an economic model

10:15-10:45. Practical 1 (Decision trees)

10:45-11:00. Coffee break

11:00-11:45. Howard Thom. R for building Markov models

11:45-12:15. Gianluca Baio. Further use of BCEA

12:15-13:00. Practical 2 (Markov models)


Being more productive in R: Lessons learnt the hard way (Anthony Hatswell, Iryna Schlackow, Nathan Green)

13.30 – 13.45 Introduction & welcome. All​

13:45 – 14:15 GitHub through Rstudio. Nathan Green.​

14:15 – 14:45. Coffee

14.45 – 15:15 Doing less for the same output; set up, looping and using data structures to your advantage (including examples), functions and modular programming. Anthony Hatswell​

15.15 – 16.00 An introduction to Tidyverse. Iryna Schlackow​

16.00 – 16.15. Coffee​

16.15 – 16.30 Profiling code and identifying bottlenecks. Iryna Schlackow​

16.30 – 17.00 Functional programming with purrr. Nathan Green.​

17.00 – 17.15 Wrap up discussion​


Day 2. Showcase. 30th June 2020.

9:30-9:40. Howard Thom, University of Bristol.


9:40-10:10. Anthony Hatswell, DeltaHat.

Propensity scores in R. Managing multiple scenario analyses in a single clean script.

10:10-10:40. Josephine Walker, University of Bristol.

Using R for cost-effectiveness analysis of Hepatitis C screening and treatment interventions in low and middle-income countries

10:40-10:55. Coffee

10:55-11:10. Philip Cooney. Novartis Pharma. Incorporating clinical opinion into survival extrapolations with visualisations through RShiny.

11:10-11:40. Claire Simons. Pharmerit. A novel approach to modelling treatment sequences: implementation and challenges.

11:40-12:00. TBC

12:00-12:30. Mi Jun Keng, University of Oxford.

Optimizing a Markov model using apply, parallel computing, and Rcpp.

12:30-13:30. Lunch.

13:30-13:45. Iryna Schlackow, University of Oxford.

The Tidyverse style guide.

13:45-14:15. Seamus Kent, University of Oxford.

Generating evidence for HTA using the OMOP common data model and standardised analytical tools

14:15-14:45. Richard Fitzjohn, Imperial College London.

An Excel-to-R translator to automatically convert Excel decision trees into R scripts.

14:45-15:00 Coffee

15:00-15:30. Sam Abbott, London School of Hygiene and Tropical Medicine.

The SpeedyMarkov package. A highly optimized package for cohort Markov models in R.

15:30-16:30. Panel Discussion with representatives from academia, consultancy, NICE, and industry. Details TBC.

16:30-16:45. Gianluca Baio, UCL.

Closing statements.


June 30, 2020
8:00 am - 5:00 pm BST
Event Category:
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1-19 Torrington Place
University College London
London, WC1E 7HB United Kingdom
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Howard Thom
View Organiser Website

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