R for trial and model-based cost-effectiveness analysis

We are pleased to announce the opening of registration for our 2021 online R for Health Technology Assessment (HTA) showcase taking place as two half-day remote workshops, on the following dates and times:

Registration for the workshop can be made at this webpage. Please note that we can only accept payments via credit card.

There is a registration fee of £25. We also offer a 50% discounts for participants from low and middle income countries (LMICs). Individuals registering from LMICs should send an email to info@r-hta.org to get the discount.

Confirmed speakers

  • David Phillippo. University of Bristol. Multinma package for both NMA and his new ML-NMR method (evolution of MAIC/STC)

  • Antonio Remiro Azocar. University College London. Marginalization of regression-adjusted treatment effects for compatible indirect treatment comparisons

  • Iain Bennet. Roche, Basel. R code and packages for MAIC and other methods

  • Rob Smith. University of Sheffield & Rose Hart. Bresmed. Rise and Shiny, a new dawn for HTA

  • Mohsen Sadatsafavi. University of British Columbia. Web hosting for R CEA models

  • Koen Degeling. University of Melbourne. Discrete Event Simulation using Simmer for models featuring resource constraints

  • Mark Clements. Karolinska Institutet, Stockholm. The microsimulation package for discrete event simulation in health technology assessment

  • Edna Keeney. University of Bristol. Switching from Excel to R: Experiences of a first-time R user developing a Markov model to compare coeliac screening strategies

  • Manuel Gomes. University College London. Practical advantages of using R for handling missing data in HTA studies

  • Andrea Gabrio. University of Maastricht. missingHE for handling missing data in HTA

Full programme

Thursday 1st July (all times BST)

13:00-13:10. Welcome. James O’Mahony, Trinity College Dublin

13:10-13:50. Rob Smith, University of Sheffield. Rose Hart, Bresmed. Rise and Shiny, a new dawn for HTA

13:50-14:10. Antonio Remiro Azocar, University College London. Marginalization of regression-adjusted treatment effects for compatible indirect treatment comparisons

14:10-14:30. Iain Bennet, Hoffmann-La Roche. R code and packages to facilitate HTA in an industry context

14:30-14:45. Break.

14:45-15:05. Edna Keeney, University of Bristol. Switching from Excel to R: Experiences of a first-time R user developing a Markov model to compare coeliac screening strategies

15:05-15:25. Hannah O’Keefe, Newcastle University. R pipelines - beyond statistics

15:25-15:45. Javier Sanchez Alvarez, Hoffmann-La Roche. Developing a Package for Discrete Event Simulation in R

15:45-15:55. Break.

15:55-16:15. Devin Incerti, Genentech. Microsimulation modeling with R: lessons learned from the development of hesim

16:15-16:35 Tae Yoon Lee, The University of British Columbia. Integrating Julia and R (Studio) for microsimulation modeling: challenges and rewards

16:35-16:55. Mohsen Sadatsafavi, The University of British Columbia. Peer Models Network: Decision-Analytic Models on the Cloud

16:55-17:00. Close of first day. Howard Thom, University of Bristol.

Friday 2nd July

9:00-9:10. Opening of second day. James O’Mahony, Trinity College Dublin.

9:10-9:30. Fanny Franchini, Cancer Health Services Research, University of Melbourne. Fantastic data and where to scrape them.

9:30-9:50. Koen Degeling, Cancer Health Services Research, University of Melbourne. Discrete Event Simulation using the simmer package for models featuring resource constraints

9:50-10:10. David Phillippo, University of Bristol. multinma: An R package for Bayesian network meta-analysis and population adjustment of individual and aggregate data

10:10-10:25. Break.

10:25-10:45. Manuel Gomes, University College London. Practical advantages of using R for handling missing data in HTA studies

10:45-11:05. Andrea Gabrio, University of Maastricht. missingHE for handling missing data in HTA

11:05-11:55. Open Discussion on the future of R in HTA

11:55-12:10. Break.

12:10-12:30. Mark Clements, Karolinska Institutet, Stockholm. The microsimulation package for discrete event simulation in health technology assessment

12:30-12:50. Alex Sutton, University of Leicester. Innovating Complex Evidence Synthesis Modelling Through Interactive Shiny Applications

12:50-13:10. Joshua Soboil, University of Cape Town. A Sensitivity Analysis Framework for Health Economic Evaluation in Middle Income Countries: Appropriately Incorporating a Comprehensive Approach

13:10-13:30. Helen O’Donnell, National Centre for Pharmacoeconomics in Ireland. Adapting an open source cardiovascular model in R to evaluate the cost-effectiveness of PCSK9 inhibitors for the secondary prevention of cardiovascular disease in Ireland

13:30-13:50. Hana M Broulikova, Vrije Universiteit Amsterdam. Trial-based cost-effectiveness analysis using R: A Tutorial

13:50-14:00. Closing remarks. Gianluca Baio, University College London.

Code of conduct

As we’re experiencing a whole new season of human interaction, we thought we’d lay out some principles of civil behaviour that we ask you all to abide by. To avoid issues with privacy, while the workshops will be recorded, participants will be muted. There will be the possibility of asking questions and making comments through the Zoom chat and we’ll be happy to relay them to the speakers.

Please be kind and considerate when asking questions — we are working really hard to adapt to the new normal and we know something may not work perfectly!

Upon agreement with them, slides will also be made available and the recordings will be posted on our website — after consent is obtained by the speakers.

Gianluca Baio
Gianluca Baio
Professor of Statistics and Health Economics