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 Friday 28th June, Monday 1st July, and Tuesday 2nd July 2024.

Friday 28th will be an in-person day-long, hybrid event hosted by at ScHARR, University of Sheffield, while the other days will be online only. Our program will be announced in May. 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

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

The registration fee is structured as follows

Attendance typeStandard priceLMIC and students discount*
Online only (28 June, 1 and 2 July 2024)£50£10
In person (28 June) and online (1 and 2 June 2024)£90£65

NB: LMIC relates to country of residence/occupation and not origin. When registering, you will be asked to give details of your student status or country of occupation.

Registration for the workshop is now open through the UCL Online Store

We look forward to seeing you there!


Full programme

Day 1. Friday 28th June (In person)

SessionNameInstitutionTitle
10:00-10:10Robert SmithDark Peak Analytics/University of SheffieldWelcome
10:10-10:30Dawn Lee + Darren BurnsPenTAG, University of ExeterLearnings from the design of a pathway model in R
10:30-10:50Alfredo MarianiNICEThe advantages and challenges of using R and Shiny to develop diagnostic pathway models for NICE clinical guidelines
10:50-11:10Stuart WrightUniversity of ManchesterImproving the speed of a discrete event simulation model in breast cancer screening: The experience of an intermediate level R user
11:10-11:40Break
11:40-12:00Shubhram PandeyHeorlyticsA digital solution to streamline the meta-analysis of Kaplan-Meier curves from published studies
12:00-12:20Victoria ZaitcevaHIVE Health OptimumAnalysing the Interval from Marketing Authorization to HTA Outcomes in High-Income Countries Using the Shiny Dashboard
12:20-12:40Paul SchneiderDark Peak AnalyticsBuilding Shiny Apps for Health Economic Models: A Practical Guide
12:40-13:00Andrew Pijper + Jamie KettleLCP Health AnalyticsMethods for estimating Healthy Life Expectancy
13:00-14:00Lunch
14:00-14:20Lewis MichaelwaiteMaple Health GroupThe design and development of the easyBIM R package
14:20-14:40Michael O’DonnellUniversity of BristolREEEVR - Automated Conversion of Excel to R
14:40-15:00Robert Smith + Tom WardDark Peak Analytics/University of SheffieldassertHE: an R package to improve quality assurance of health economic models
15:00-15:20Felicity LamrockQueen’s University BelfastClosing remarks

Day 2. Monday 1st July (Remote)

SessionNameInstitutionTitle
9:00-9:10Felicity LamrockQueen’s University BelfastWelcome
9:10-9:30Sven KlijnBristol Myers SquibbModeling the Future: Pioneering the First Dossier Submission with R
9:30-9:50Jean-Etienne PoirrierParexelUsing R for Health Economics Modelling in Consulting: R (are) We There Yet?
9:50-10:10Yi ShanScuola IMT Alti Studi LuccaUtilizing R for Personalized Medicine: Integrating Digital Phenotyping and Health Technology Assessment
10:10-10:30Junwen ZhouUniversity of OxfordEstimating Costs Associated with Disease Model States Using Generalized Linear Models in R
10:30-10:45Break
10:45-11:05Eline KrijkampErasmus University RotterdamFrom spreadsheet to script: Streamlining data collection and probabilistic sensitivity analysis with Excel and R
11:05-11:25Sarwar MozumderAstraZenecaDigitising survival curves by reconstructing individual patient-level survival data using a simulation approach
11:25-11:45Zachary WallerQueen’s University BelfastSpending time to save time: strategies for making your code run faster
11:45-12:05Hawre JalalUniversity of OttawaIntroducing Grammar of Modeling R package (gmod) and the Decision Twigs graphical user interface for building HTA models
12:05-12:50Lunch
12:50-13:10Jasper Zhongyuan ZhangThe Hospital for Sick ChildrenAgent-based modeling for Health Decision Making in R
13:10-14:00PanelPanel: Building capacity in the use of R for HTA
14:00-14:15Howard ThomUniversity of BristolClosing remarks

Day 3. Tuesday 2nd July (Remote)

SessionNameInstitutionTitle
13:00-13:10Nathan GreenUniversity College LondonWelcome
13:10-13:30Anna GrootendorstNHTA, CSL SeqirusApplication of RShiny as a Strategic Tool for Evidence-Based Payer Engagement in Nordic Influenza Vaccine Tenders
13:30-13:50Annachiara RossiNovo NordiskA User-Friendly R-Shiny Application for Indirect Treatment Comparisons in Health Technology Assessment
13:50-14:10Andrew ClarkDelta HatCross-referencing and aggregating multiple independent sources to estimate subgroup-level values: The EQ-5D utility of emicizumab in severe haemophilia A
14:10-14:25Break
14:25-14:45Niccolò MorganteNHTAEarly modelling of ileostomy management systems: showcasing value in RShiny
14:45-15:05Jack EttingerParexelAssessing the Cost-effectiveness of Warmth on Prescription Schemes for COPD Patients: A Markov Model Analysis Using R
15:05-15:25William HallUniversity of British ColumbiaDevelopment and Application of Economic Learning Health Systems: A Forecasting and Simulation Based Analysis of Home Health for Seniors
15:25-15:40Break
15:40-16:00Dominic MustonMSDAn R package to inform structural assumptions for three state oncology cost-effectiveness models and examine the impact of adjusting for background mortality (psm3mkv)
16:00-16:50PanelPanel: Generative AI for HEOR: Potential, Challenges, and Future Directions
16:50-17:00Robert SmithDark Peak Analytics/University of SheffieldClosing remarks
Gianluca Baio
Gianluca Baio
Professor of Statistics and Health Economics