- This event has passed.
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 https://r-hta.org/events/workshop/2020/
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.
|Introduction to R for Cost-Effectiveness Modelling.||29th June. Half-day||£180|
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.
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
10:55-11:10. 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.
12:00-12:30. Mi Jun Keng, University of Oxford.
Optimizing a Markov model using apply, parallel computing, and Rcpp.
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.
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.