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:
- Thursday 1st July 2021, 13:00-17:00 British Summer Time (BST);
- Friday 2nd July 2021, 9:00-13:00 British Summer Time.
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 email@example.com to get the discount.
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
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
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
14:45-15:05. 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
15:55-16:15. 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
10:25-10:45. 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
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.