R for trial and model-based cost-effectiveness analysis
We are excited to announce the R for Health Technology Assessment (HTA) workshop that will be held on Thursday 19th, Friday 20th, and Monday 23rd May 2022.
Friday 20th will be an in-person day-long, hybrid event hosted by at St Anne’s College, University of Oxford, while other days will be online only. Our programme will be announced in April. The overall goal is to present interesting and enlightening presentations on the use of R that will engage an audience of those working in the field of health technology assessment and related analysis. Sessions may cover some or all of the following:
- New methods and applications for economic modelling using R
- Efficient modelling for economic evaluation using dedicated R packages
- Improving modelling for HTA using R – Lessons from industry and academia
- Teaching economic evaluation and HTA using R
We look forward to seeing you there!
Day 1. Thursday 19 May 2022 (all times BST). Online only
10:00-10:10 Welcome. Howard Thom (University of Bristol) and Gianluca Baio
10:10-10:40 Aku-Ville Lehtimaki School of Pharmacy, University of Eastern Finland. Simplified but effective individual-level simulation with object-oriented programming paradigm
10:40-11:10 Adrija Roy, SCTIMST, Thiruvanathapuram. Leveraging R for literature search: experiences from a multidimensional systematic review on telemedicine in secondary healthcare
11:25-11:55 Mei Sum Chan, Lane Clark and Peacock and University of Oxford. Developing biological ages in R for high-dimensional risk prediction and communication of multiple health outcomes
11:55-12:15 The R for HTA LMIC Chapter. R in Low and Low Middle Income Countries.
12:15-12:45 Thomas Leahy, PHMR Ltd. Quantitative Bias Analysis for Unmeasured Confounding in Non-Randomised Studies: Call for An Integrated Approach
12:45-12:50 Howard Thom, University of Bristol. Close of first day.
Day 2. Friday 20th May. Hybrid – online and in-person at St Anne’s College, Oxford
9:30-10:15 Registration. Coffee and pastries.
10:15-10:20 Opening of second day. Padraig Dixon, University of Oxford and Howard Thom, University of Bristol
10:20-10:45 John Buckell, University of Oxford. Modelling health-based choice behaviour using R: illustrating the Apollo package with smoking choices
10:45-11:10 Thomas Hancock, University of Leeds. Simulating choice behaviour using R: what does my model actually capture?
11:10-11:25 Coffee break
11.25-11:50 Yixin Xu. University of Bristol. First experience in R cost-effectiveness modelling: A Markov model comparing implants for knee replacement surgery using C++ optimisation, value of information analysis, and a Shiny interface
11:50-12:15 Howard Thom, University of Bristol. Hacking hesim: Using the continuous-time semi-Markov package ‘hesim’ to run general state-transition microsimulations evaluating cost-effectiveness of implants for knee replacement surgery
13:15-13:40 Anthony Hatswell. Delta Hat Consulting and University College London. Incorporating prior beliefs into meta-analyses of health state utility values using the Bayesian power prior
13:40-14:05 Joe Moss, York Health Economics Consortium. Introduction to Shiny modules. Bringing bloated apps under control
14:05-14:20 Coffee break
14:20-14:45 Dina Jankovic. University of York. R Shiny for expert elicitation: Easily-adaptable code for building bespoke web applications
14:45-15:10 Erin Barker. York Health Economics Consortium. MAIC-ing it easy: R for matching adjusted indirect comparisons
15:10-15.25 Coffee break
15:25-15:50 Robert A Smith, Lumanity and University of Sheffield. Living HEOR: Automating HTA with R
15:50-16:15 Howard Thom, University of Bristol, Gianluca Baio, University College London and Padraig Dixon, University of Oxford. General Discussion. Recap, future plans for “R for HTA” book.
16:15 Close of Day 2.
Day 3. Monday 23rd May. Online only.
12:00-12:05 Opening of third day. Gianluca Baio, University College London
12:05-12:50 Frederick Thielen, Erasmus School of Health Policy and Management. Copy and paste code, not output. Writing technical reports of any economic analysis in R with Bookdown and Estimating Dutch costs of productivity losses in R using up-to-date data from Statistics Netherlands (CBS) with the R-package cbsodataR
12:50-13:20 Miguel Miranda. Astra Zeneca. An example of use of R in Health Economic modelling: Modelling of long-term survival outcomes in patients with stage IB-IIIA EGFR-mutated NSCLC using data from the ADAURA trial
13.50-14.20 Lytske Bakker, Erasmus School of Health Policy and Management. Estimating Restricted Mean Survival Time
14:20-15:20 Discussion. ZIN (Zorginstituut Nederland – the Dutch National Health Care Institute) and R for HTA
15:20-15:30 Closing remarks. Gianluca Baio, University College London
15:30 End of Day 3 and of the conference.