This repository contains open-source code examples from the R-HTA workshop held on 28th June - 2nd July 2024.
For more information please see the main website, or contact Robert Smith at [email protected].
Links to external materials can be found in the table below, thanks to Wael Mohammed for updating this throughout the workshop as new slides were made available.
| Author | Title | Institution | Links |
|---|---|---|---|
| Robert Smith & Tom Ward | assertHE: an R package to improve quality assurance of health economic models | Dark Peak Analytics, UoS & GSK | R package; Slides; Paper; Video |
| Dawn Lee & Darren Burns | Learnings from the design of a pathway model in R | Peninsula Technology Assessment Group (PenTAG) | Paper; slides |
| Stuart Wright | Improving the speed of a discrete event simulation model in breast cancer screening: The experience of an intermediate level R user | University of Manchester | Slides |
| Andrew Pijper & Jamie Kettle | Methods for estimating Healthy Life Expectancy | LCP Health Analytics | Slides |
| Lewis Michaelwaite | The design and development of the easyBIM R package | Maple Health Group | Slides |
| Michael O’Donnell | REEEVR - Automated Conversion of Excel to R | University of Bristol | Slides |
| Alfredo Mariani | The advantages and challenges of using R and Shiny to develop diagnostic pathway models for NICE clinical guidelines | NICE | Slides |
| Shubhram Pandey | R-Shiny tool to pool Kaplan Meier curves from single-arm studies using a distribution-free approach | heoRlytics | Slides |
| Paul Schneider | Building Shiny Apps for Health Economic Models: A Practical Guide | Dark Peak Analytics | Slides |
| Author | Title | Institution | Links |
|---|---|---|---|
| Junwen Zhou | Estimating Costs Associated with Disease Model States Using Generalized Linear Models in R | University of Oxford | Slides |
| Sven Klijn | Modeling the Future: Pioneering the First Dossier Submission with R | Bristol Myers Squibb | Slides |
| Zachary Waller | Spending time to save time: strategies for making your code run faster | Queen’s University Belfast | Slides |
| Jean-Etienne Poirrier | Using R for Health Economics Modelling in Consulting: R (are) We There Yet? | Parexel | Slides |
| Hawre Jalal | Introducing Grammar of Modeling R package (gmod) and the Decision Twigs graphical user interface for building HTA models | University of Ottawa | Slides |
| Panel | Building capacity in the use of R for HTA | Jean-Etienne Poirrier |
| Author | Title | Institution | Links |
|---|---|---|---|
| Andrew Clark | Cross-referencing and aggregating multiple independent sources to estimate subgroup-level values: The EQ-5D utility of emicizumab in severe haemophilia A | Delta Hat | Slides |
| Anna Grootendorst | Application of RShiny as a Strategic Tool for Evidence-Based Payer Engagement in Nordic Influenza Vaccine Tenders | NHTA, CSL Seqirus | Slides |
| Niccolò Morgante | Early modelling of ileostomy management systems: showcasing value in RShiny | NHTA | Slides |
| Jack Ettinger | Assessing the Cost-effectiveness of Warmth on Prescription Schemes for COPD Patients: A Markov Model Analysis Using R | Parexel | Slides |
| Dominic Muston | An R package to inform structural assumptions for three state oncology cost-effectiveness models and examine the impact of adjusting for background mortality (psm3mkv) | MSD | Slides |
| Annachiara Rossi | A User-Friendly R-Shiny Application for Indirect Treatment Comparisons in Health Technology Assessment | Novo Nordisk | Slides |
| Victoria Zaitceva | Analysing the Interval from Marketing Authorization to HTA Outcomes in High-Income Countries Using the Shiny Dashboard | HIVE Health Optimum | Slides |
Please feel free to submit a pull request into this repository with your material added to the 'content' folder, alternatively email your materials in a single folder containing a file called README.md in the top level, which describes the code, to [email protected] and we will upload for you.
Please feel free to clone this repository to your machine, or download the files as a zip folder. This can be done by clicking on the green button on the top right.
If you have downloaded the ZIP, please ensure that you unzip the folder and then click on the R project file to load the project into RStudio.
We hope you find the content useful!
Rob (On behalf of the wider R-HTA team)