-
How long will I have access to course materials for?
For 12 months. Some of our materials are also downloadable, so you can still refer to them after that period.
-
I want something more bespoke, do you teach other courses?
Yes, we teach bespoke courses on a range of other topics in addition to teaching these topics in live sessions within Industry, Universities and Government.
-
Will I get an invoice?
Yes, you'll receive an invoice by email after booking.
Products
-
Pre-order available now!
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.
-
Pre-order available now!
Automating Health Economic Evaluation with R
CourseThis course covers the skills necessary to create automated health economic evaluation reports which always reflect the latest information. Based on peer reviewed literature and experience working with government, industry and academia.
-
Pre-order available now!
Packaging Cost-effectiveness Models in R
CourseThis course covers the skills necessary to build health economic evaluation models into R packages. Following our peer reviewed paper of the same name, we believe this method is likely to become an industry standard in the near future.
-
R for Health Economic Evaluation Reading List
Digital downloadWe often get asked: "What resources exist to learn how to build health economic evaluation models in R?". We've put together this list of open-access publications and R packages which we have found particularly useful.
-
assertHE: an R package to improve quality assurance of HTA models
Digital downloadDiscover assertHE, an open-source R package designed to streamline the quality assurance process for health economic models. With features for error checking, function mapping, and test coverage visualization, assertHE helps developers and reviewers.
-
R for Health Economics Pathway
BundleStart with the basics and then learn to build state transition and partitioned survival models. Learn shiny for interactive apps, automate updated to reports, build efficient microsimulations, and use GitHub for collaboration.