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Explore practical talks on building, testing, and deploying transparent health economic and geospatial models. Everything here is free to watch, no card details needed.
17 lessons ≈ 8 hours R • Shiny • QA • Automation
- Covers transparency, QA (assertHE), Shiny apps, automation, and genAI.
- Geospatial sessions include NHS infrastructure and active travel examples.
Health economic modelling
Health economic modelling
- Improving the transparency and usability of health economic models
- assertHE model reviewer in R
- Impromptu GitHub workshop
- Building Shiny Apps for Health Economic Models: A practical guide
- Generative AI for Health Economic Evaluation
- Packaging cost-effectiveness models with R
- Automating Health Economic Evaluation with GitHub & Plumber APIs
- Rise and Shiny: A new dawn for HTA
- Flip (to) the Script: Is It Time to Rethink Health Economic Modeling for HTAs?
- Automating Health Economic Evaluation with R (& genAI)
- assertHE: an R package for quality assurance of health economic models
- Part 1 — Transparent Health Economic Models with R & Shiny
- Part 2 — Transparent Health Economic Models with R & Shiny
- Transitioning Health Economics from Excel to R
Geospatial modelling
Geospatial modelling
- Modelling the impact of new parkrun events: efficiency vs equity
- Geospatial care closer to home — modelling of NHS infrastructure
- Geospatial care closer to home — modelling NHS infrastructure (South Yorkshire Digital Health Hub talk)
- R for the Rest of Us: From Academia to COVID Response to Helping People be More Active
Additional products
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Making Health Economic Models Shiny
CourseThis course teaches delegates to create interactive web applications for health economic models. Based on peer reviewed literature, it shows how to develop robust and fast decision models, and deploy shiny user-interfaces written in R.
£895
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State Transition (Markov) Models in R
CourseThis course teaches delegates to build a custom state transition model in base R. It uses an example model with time dependent transition probabilities, events and tunnel states. We also show how to run OWSA, PSA and VOI analyses.
£895
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Partitioned Survival Models in R
CourseThis course teaches delegates to build a custom partitioned survival model in R. We also show how to run OWSA, PSA and VOI analyses.
£895
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Advanced Survival Modelling
CourseApply the most commonly used techniques presented in NICE DSU TSD 21 to satisfy the increasing demand in HTA for survival analysis of challenging datasets and clinical contexts.
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Efficient Microsimulation Modelling in R
CourseThis course teaches delegates to build microsimulation models in base R. It shows how to use vectorization, parallelization and C++ integration (through Rcpp) to considerably improve the run-time of microsimulation models.
£1,495
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Version Control for Health Economists
CourseLearn how to use version control software Git from within RStudio and collaborate with colleagues using GitHub. Several examples of the review process for a health economic model using version control are provided.
£195
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