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Abstract

High-impact journals increasingly encourage that (some of) the data and the code used in clinical and policy research should be archived and made publicly available alongside a publication. Similarly, efforts are under way for making decision models, which form the basis of economic evaluations and cost-effectiveness analysis, publically
available, more transparent, reproducible, and adaptable to new applications. R is an open-source programming environment that can facilitate model transparency, reproducibility, and shareability, through a number of innovative ways (Markdown, Shiny etc.). However, realizing this potential can be challenging given the lack of
expertise and standardized use in the field of health decision analysis, and the famous “steep learning curve” of R. Over the past years, a number of groups around the globe have worked, in parallel, on the development of materials to conduct decision modelling in R, analyse the results of decision models, improve and harmonize the link between input parameters and decision models as well as standardize the use of R in decision analysis. During this seminar we will talk about the use of R in the field of health decision making, its advantages and disadvantages. We will talk about existing and future trends in the work of these groups and highlight some examples. Finally, we will briefly illustrate the use of R for decision analysis through the recently developed darthpack R package.

Forthcoming events

Festival of Global Health – Spillover: Planet of Viruses

Wednesday, 26 November 2025, 4pm to 8pm @ Curzon Oxford, Westgate Shopping Centre, Oxford OX1 1NZ

Oliver Smithies Lecture

Thursday, 27 November 2025, 5.15am to 6.15am @ Gillis Lecture Theatre

Talk title: Agency and Preference: Attitudes Toward Vaccination and Epidemic Risks

Optimising global frameworks for pandemic relevant research

Monday, 01 December 2025, 1pm to 2pm @ BDI/OxPop Seminar Rooms

IDEU Symposium 2026

Wednesday, 04 March 2026 to Thursday, 05 March 2026 @ Richard Doll Building - Lecture Theatre