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r-hta-workshop-2026

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Content for the 2026 workshop

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- .gitkeep
- 01_Javier_Sanchez_Alvarez_2026_06_23.pdf
- 01_R4HTAworkshop_final_draft_v1.1.pdf
- 02_An_Excel_and_R_Hybrid_Patient_Simulation_Model.pdf
- 03 DB treatseqr presentation.pdf
- 04_Bringing_Order_in_the_CHAOS.pdf
- 04_R-HTA_2026_presentation_Michael_ODonnell.pdf
- 05_PHM_RHTA_Exeter_22_06_26_aaron_gorman.pdf
- 05_RforHTA_ML-UMR_ASM_20260623.pdf
- 06_Mary_Ward.pdf
- 06_R-HTA_Eva_Li.pptx.pdf
- 07_Claxton.pdf
- 07_Jalal_twig_HTA_2026.pdf
- 07_OD_R-HTA_presentation.pdf
- 08_hotShiny_hta_final.pdf
- 08_LZ_r-for-hta.pdf
- 09_Baris_Deniz_RforHTA_2026_Decomposition_Framework.pdf
- 09_Cost_Table_Tool.pdf
- 09_COSTmos.pdf
- 10_MedSID.pdf
- 11_Thom_22Jun26.pdf
- Geospatial Care Closer to Home.pdf
- Horizon Health Economics. R for HTA Presentation. 26th June 2026..pdf
- metainsight_v7.html
- R-HTA Expert Elicitation Survey Results.pdf
- R_For_HTA_slides_v0.01.pptx
- RoseHart_r5rMultimodalModelling.html
- Scaling Expert Elicitation with an R-powered Platform.pdf
- treatseqr.presentation.pdf
- Wed-SmithSamyshkin-Enterprise.pdf
README.html
README.md

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This repository houses content from the R for Health Technology Assessment (HTA) workshop that will be held on Monday 22nd June, Tuesday 23rd June, and Wednesday 24th June 2026.

Monday 22nd June will be an in-person day-long hybrid event hosted by the University of Exeter, while Tuesday 23rd June and Wednesday 24th June will be online only.

- Main event page: <https://r-hta.org/events/workshop/2026/>
- Contact: <mailto:RHTAExeter@exeter.ac.uk>

The in-person day will be held at:

> University of Exeter, St Luke's Campus, Heavitree Road, Exeter EX1 2LU

More information on travel and accommodation can be found on the main event page.

## Programme

Talk materials will be added in the [`content`](content) folder. Links below are placeholders for the specific slide files.

### Day 1. Monday 22nd June 2026 (In person and Remote)

| Session | Name | Institution | Title | Links |
| --- | --- | --- | --- | --- |
| 11:00-11:10 | Dawn Lee | PenTAG, University of Exeter | Welcome | [Video](https://youtu.be/fTgx6bF9Uog) |
| 11:10-11:30 | Edna Keeney / Carolina Heuser | Clifton Insight / Roche | RforCEM - A comprehensive and user-friendly cost-effectiveness model template in the R programming language | [Slides](content/01_R4HTAworkshop_final_draft_v1.1.pdf) [Video](https://youtu.be/jTKpPOWugBs)  |
| 11:30-11:50 | Alex Mclean | Costello Medical | An Excel and R Hybrid Patient Simulation Model: Utilising Parallel Core Processing and Vectored Simulations for HTA Ready CEMs | [Slides](content/02_An_Excel_and_R_Hybrid_Patient_Simulation_Model.pdf) [Video](https://youtu.be/aa-nSmPrCbg) |
| 11:50-12:10 | Darren Burns | Dark Peak Analytics | treatseqr: A Matrix Based Framework for Scalable Treatment Sequencing in HTA | [Slides](content/treatseqr.presentation.pdf) [Video](https://youtu.be/J9V1TzG2egU) |
| 12:10-13:10 | Lunch |  |  | - |
| 13:10-13:30 | Michael O'Donnell | University of Bristol | Is your code fast enough? | [Slides](content/04_R-HTA_2026_presentation_Michael_ODonnell.pdf) [Video](https://youtu.be/ETGizOsQwqM)  |
| 13:30-13:50 | Aaron Gorman | Public Health Agency | Northern Ireland, a Population Health Model: A Microsimulation in R for Long Term Chronic Non - Communicable Conditions | [Slides](content/05_PHM_RHTA_Exeter_22_06_26_aaron_gorman.pdf) [Video](https://youtu.be/PrRGFZ4Eg2E)  |
| 13:50-14:10 | Eva Li | University of Bristol | A discrete event simulation model to assess treatment sequences in rheumatoid arthritis in a Chinese population, accounting for heterogeneity | [Slides](content/06_R-HTA_Eva_Li.pptx.pdf) [Video](https://youtu.be/amEB6PdhouM) |
| 14:10-14:40 | Break |  |  | - |
| 14:40-15:00 | Oliver Dolin / Lewis Ralph | Dark Peak Analytics / Roche | Care Closer to Home: An Open-Source R Framework for Geospatial Health Technology Assessment and Service Optimisation | [Slides](content/Geospatial%20Care%20Closer%20to%20Home.pdf) [Video](https://youtu.be/b7dVcGxqjRA) |
| 15:00-15:20 | Liza Zasukhina | MSD | Agentic health economic modelling made auditable with YAML and open-source R packages | [Slides](content/08_LZ_r-for-hta.pdf) [Video](https://youtu.be/VL3a1eGEh-I) |
| 15:20-15:40 | Alfredo Mariani | Takeda | COSTmos: A universe of cost resources for HTA in the UK within a practical R package and Shiny dashboard | [Slides](content/09_COSTmos.pdf) [Video](https://youtu.be/U6v8sNJy_5c) |
| 15:40-16:10 | Break |  |  | - |
| 16:10-16:50 | Gabriel Rogers / Catherine McGuire | Manchester Centre for Health Economics / U of Manchester Research Software Engineering | R Mutual Friend: Interdisciplinary collaboration between health economists and research software engineers to deliver a complex HTA project | [Slides](content/10_MedSID.pdf) [Video](https://youtu.be/Ic-UegcALRA) |
| 16:50-17:00 | Howard Thom |  | Closing remarks | - |

### Day 2. Tuesday 23rd June 2026 (Remote)

| Session | Name | Institution | Title | Links |
| --- | --- | --- | --- | --- |
| 12:30-12:40 | Raquel Aguiar-Ibanez |  | Welcome | - |
| 12:40-13:00 | Javier Sanchez Alvarez | Value Analytics Centre | 20,000 Leagues Under R: A Journey of Transformation into a Resource-Constrained DES Package | [Slides](content/01_Javier_Sanchez_Alvarez_2026_06_23.pdf) [Video](https://youtu.be/VicVTy-5gsA)  |
| 13:00-13:20 | Lucy Watson | Dark Peak Analytics | Scaling Expert Elicitation with an R-powered Platform | [Slides](content/Scaling%20Expert%20Elicitation%20with%20an%20R-powered%20Platform.pdf) [Video](https://youtu.be/NesQ8BXr3vk)|
| 13:20-13:40 | Robert Smith | Dark Peak Analytics | **Last minute replacement** R-HTA Survey results | [Slides](content/R-HTA%20Expert%20Elicitation%20Survey%20Results.pdf) [Video](https://youtu.be/NxHjW7FlrFE)  |
| 13:40-14:00 | Xavier Pouwels | University of Twente | Developing the CHecklist for Assessing Open Source Health Economic Models (CHAOS) | [Slides](content/04_Bringing_Order_in_the_CHAOS.pdf) [Video](https://youtu.be/tjoiedg6OB8) |
| 14:00-14:15 | Break |  |  | - |
| 14:15-14:35 | Ahmad Sofi-Mahmudi | Thermo Fisher Scientific | mlumr: An R Package for Conducting Indirect Comparisons with Multilevel Unanchored Meta-Regression | [Slides](content/05_RforHTA_ML-UMR_ASM_20260623.pdf) [Video](https://youtu.be/JfEQxEyPQKk) |
| 14:35-14:55 | Mary Ward | University of Bristol | Discrete event simulation model in R for the optimal testing for routine monitoring in chronic conditions | [Slides](content/06_Mary_Ward.pdf) [Video](https://youtu.be/Fpq3dru1q74) |
| 14:55-15:15 | Hawre Jalal | University of Ottawa | Twig: A Computationally Efficient and Fully Vectorized Approach to Time-Dependent Markov Modeling in R | [Slides](content/07_Jalal_twig_HTA_2026.pdf) [Video](https://youtu.be/VbSrLqkzyLU) |
| 15:15-15:35 | Petros Pechlivanoglou | The Hospital for Sick Children, Canada | Improving computational efficiency in discrete-time microsimulation models in R and Python | [Video](https://youtu.be/s721n7Ub6OQ)  |
| 15:35-15:50 | Break |  |  | - |
| 15:50-16:10 | Rafael Miranda | Canada's Drug Agency | A Shiny-Based App to Automate the Construction of Cost Comparison Tables | [Slides](content/09_Cost_Table_Tool.pdf) [Video](https://youtu.be/0p7zj7ODNQw) |
| 16:10-17:00 | Panel Session | Baris Deniz (AIde Solutions), Ian Cromwell (Independent), Tom Monks (University of Exeter), Rob Hettle (AstraZeneca) | Using R to leverage the power of gen AI in HTA |  |
| 17:00-17:10 | Dominic Muston |  | Closing remarks | - |

### Day 3. Wednesday 24th June 2026 (Remote)

| Session | Name | Institution | Title | Links |
| --- | --- | --- | --- | --- |
| 09:00-09:10 | Lea Trela-Larsen |  | Welcome | - |
| 09:10-09:30 | Simon Smart | University of Leicester | MetaInsight v7: Making a Comprehensive Web App for Network Meta-analysis Reproducible | [Slides](https://simon-smart88.github.io/metainsight_rhta/slides.html) |
| 09:30-09:50 | Akansha Sharma | Heorlytics | drMAIC: A Doubly Robust R Package for Reproducible Matching-Adjusted Indirect Comparisons in HTA | [Video](https://youtu.be/K-sTFOdrqzw) |
| 09:50-10:10 | Shubhram Pandey | Heorlytics | seerSurv An R Package for Deriving Post Recurrence Transition Probabilities in Oncology Economic Models | [Video](https://youtu.be/xY9nYBHHv5s) |
| 10:10-10:30 | Heather Riley | York Health Economics Consortium | Integrating a Python-Based Stochastic Household COVID-19 Transmission Model into an R Shiny Cost-Effectiveness Platform via reticulate | [video](https://youtu.be/ErnvmJuAGZ8) |
| 10:30-10:45 | Break |  |  | - |
| 10:45-11:05 | Pranshu Mundada | University of Warwick | Working with a Discrete Event Simulation in R: Validation, Modification and Output Extraction for a National Breast Cancer Screening Policy Question | Cancelled |
| 11:05-11:25 | Robert Smith / Yevgeniy Samyshkin | Dark Peak Analytics / GSK | Building & Scaling Custom HEOR Modelling Software within Industry | [Slides](content/Wed-SmithSamyshkin-Enterprise.pdf) [Video](https://youtu.be/v_bBgeigws8) |
| 11:25-11:45 | Lindsay Claxton | NICE | Experience of R models in HTA: a NICE perspective | [Slides](https://github.com/r-hta/r-hta-workshop-2026/blob/main/content/R_For_HTA_slides_v0.01.pptx) [Video](https://youtu.be/Fs3Cjp3ca5U) |
| 11:45-12:05 | Jesus Rodriguez Perez | Dark Peak Analytics | hotShiny: an open-source package for fast Shiny app development in R | [Slides](content/08_hotShiny_hta_final.pdf) [Video](https://youtu.be/kXvfGodwPT4) |
| 12:05-12:20 | Break |  |  | - |
| 12:20-12:40 | Baris Deniz | Aide Solutions LLC | A Decomposition Framework for Translating Published Health Economic Model Descriptions into Executable R Code Using Agentic AI | [Slides](content/09_Baris_Deniz_RforHTA_2026_Decomposition_Framework.pdf) [Video](https://youtu.be/8e7hryUlfKM) |
| 12:40-13:00 | Rose Hart | Covalence Research | Multimodal Network-Based Geospatial Modelling with the r5r Package: A MASLD Case Study in England | [Slides](https://rhart1.github.io/RoseHart-r-hta-workshop-2026.io/#1) [Video](https://youtu.be/pzaoe4gbh98) |

### Additional Talks

| Session | Name | Institution | Title | Links |
| --- | --- | --- | --- | --- |
| Pre-recorded | Tom Ward | Horizon Health Economics | R Shiny: Beyond Dashboards Building An Early Economic Modelling Platform for Oncology Indications | [Slides](https://github.com/r-hta/r-hta-workshop-2026/blob/main/content/Horizon%20Health%20Economics.%20R%20for%20HTA%20Presentation.%2026th%20June%202026..pdf) [Video](https://youtu.be/iIPZtV6HWec) |

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